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Normalized Top-100 Security Papers

This webpage is an attempt to assemble a ranking of top-cited papers from the area of computer security. The ranking has been created based on citations of papers published at top security conferences. More details are available here.

Absolute citations are not necessarily a good indicator for the impact of a paper, as the number of citations usually grows with the age of a paper. The following list shows an alternative ranking, where the citations are normalized by the age of each paper.

Top 100 papers normalized by age ⌄

  1. 1
    Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, and Yang Zhang:
    "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models.
    ACM Conference on Computer and Communications Security (CCS), 2024
    563 cites at Google Scholar
    8261% above average of year
    Visited: May-2025
    Paper: DOI
  2. 2
    Nicholas Carlini and David A. Wagner:
    Towards Evaluating the Robustness of Neural Networks.
    IEEE Symposium on Security and Privacy (S&P), 2017
    11341 cites at Google Scholar
    7079% above average of year
    Visited: Jun-2025
    Paper: DOI
  3. 3
    Gelei Deng, Yi Liu, Yuekang Li, Kailong Wang, Ying Zhang, Zefeng Li, Haoyu Wang, Tianwei Zhang, and Yang Liu:
    MASTERKEY: Automated Jailbreaking of Large Language Model Chatbots.
    Network and Distributed System Security Symposium (NDSS), 2024
    389 cites at Google Scholar
    5677% above average of year
    Visited: Jun-2025
    Paper: DOI
  4. 4
    Mihir Bellare and Phillip Rogaway:
    Random Oracles are Practical: A Paradigm for Designing Efficient Protocols.
    ACM Conference on Computer and Communications Security (CCS), 1993
    6899 cites at Google Scholar
    4776% above average of year
    Visited: Jun-2025
    Paper: DOI
  5. 5
    Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, and Eric Wallace:
    Extracting Training Data from Diffusion Models.
    USENIX Security Symposium, 2023
    780 cites at Google Scholar
    4391% above average of year
    Visited: Jun-2025
    Paper: DOI
  6. 6
    Martín Abadi, Andy Chu, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang:
    Deep Learning with Differential Privacy.
    ACM Conference on Computer and Communications Security (CCS), 2016
    7672 cites at Google Scholar
    4293% above average of year
    Visited: Apr-2025
    Paper: DOI
  7. 7
    Nicholas Carlini, Florian Tramèr, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom B. Brown, Dawn Song, Úlfar Erlingsson, Alina Oprea, and Colin Raffel:
    Extracting Training Data from Large Language Models.
    USENIX Security Symposium, 2021
    2227 cites at Google Scholar
    4290% above average of year
    Visited: May-2025
    Paper: DOI
  8. 8
    Vipul Goyal, Omkant Pandey, Amit Sahai, and Brent Waters:
    Attribute-based encryption for fine-grained access control of encrypted data.
    ACM Conference on Computer and Communications Security (CCS), 2006
    7389 cites at Google Scholar
    3948% above average of year
    Visited: Apr-2025
    Paper: DOI
  9. 9
    Nicholas Carlini, Matthew Jagielski, Christopher A. Choquette-Choo, Daniel Paleka, Will Pearce, Hyrum S. Anderson, Andreas Terzis, Kurt Thomas, and Florian Tramèr:
    Poisoning Web-Scale Training Datasets is Practical.
    IEEE Symposium on Security and Privacy (S&P), 2024
    259 cites at Google Scholar
    3746% above average of year
    Visited: Jun-2025
    Paper: DOI
  10. 10
    Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov:
    Membership Inference Attacks Against Machine Learning Models.
    IEEE Symposium on Security and Privacy (S&P), 2017
    5748 cites at Google Scholar
    3539% above average of year
    Visited: May-2025
    Paper: DOI
  11. 11
    John Bethencourt, Amit Sahai, and Brent Waters:
    Ciphertext-Policy Attribute-Based Encryption.
    IEEE Symposium on Security and Privacy (S&P), 2007
    7214 cites at Google Scholar
    3336% above average of year
    Visited: May-2025
    Paper: DOI
  12. 12
    Paul Kocher, Jann Horn, Anders Fogh, Daniel Genkin, Daniel Gruss, Werner Haas, Mike Hamburg, Moritz Lipp, Stefan Mangard, Thomas Prescher, Michael Schwarz, and Yuval Yarom:
    Spectre Attacks: Exploiting Speculative Execution.
    IEEE Symposium on Security and Privacy (S&P), 2019
    3462 cites at Google Scholar
    3169% above average of year
    Visited: Jun-2025
    Paper: DOI
  13. 13
    Nicolas Papernot, Patrick D. McDaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik, and Ananthram Swami:
    The Limitations of Deep Learning in Adversarial Settings.
    IEEE European Symposium on Security and Privacy (EuroS&P), 2016
    5466 cites at Google Scholar
    3030% above average of year
    Visited: Jun-2025
    Paper: DOI
  14. 14
    Dawn Xiaodong Song, David A. Wagner, and Adrian Perrig:
    Practical Techniques for Searches on Encrypted Data.
    IEEE Symposium on Security and Privacy (S&P), 2000
    5443 cites at Google Scholar
    2985% above average of year
    Visited: Jun-2025
    Paper: DOI
  15. 15
    Stephanie Forrest, Alan S. Perelson, Lawrence Allen, and Rajesh Cherukuri:
    Self-nonself discrimination in a computer.
    IEEE Symposium on Security and Privacy (S&P), 1994
    3297 cites at Google Scholar
    2978% above average of year
    Visited: Mar-2025
    Paper: DOI
  16. 16
    Nicolas Papernot, Patrick D. McDaniel, Ian J. Goodfellow, Somesh Jha, Z. Berkay Celik, and Ananthram Swami:
    Practical Black-Box Attacks against Machine Learning.
    ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2017
    4727 cites at Google Scholar
    2892% above average of year
    Visited: Jun-2025
    Paper: DOI
  17. 17
    Nicholas Carlini, Steve Chien, Milad Nasr, Shuang Song, Andreas Terzis, and Florian Tramèr:
    Membership Inference Attacks From First Principles.
    IEEE Symposium on Security and Privacy (S&P), 2022
    906 cites at Google Scholar
    2854% above average of year
    Visited: Jun-2025
    Paper: DOI
  18. 18
    D. F. C. Brewer and Michael J. Nash:
    The Chinese Wall Security Policy.
    IEEE Symposium on Security and Privacy (S&P), 1989
    1531 cites at Google Scholar
    2762% above average of year
    Visited: May-2025
    Paper: DOI
  19. 19
    Matt Fredrikson, Somesh Jha, and Thomas Ristenpart:
    Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures.
    ACM Conference on Computer and Communications Security (CCS), 2015
    3831 cites at Google Scholar
    2681% above average of year
    Visited: Jun-2025
    Paper: DOI
  20. 20
    Roger Dingledine, Nick Mathewson, and Paul F. Syverson:
    Tor: The Second-Generation Onion Router.
    USENIX Security Symposium, 2004
    6412 cites at Google Scholar
    2610% above average of year
    Visited: Jun-2025
    Paper: DOI
  21. 21
    Wen-jie Lu, Zhicong Huang, Zhen Gu, Jingyu Li, Jian Liu, Cheng Hong, Kui Ren, Tao Wei, and Wenguang Chen:
    BumbleBee: Secure Two-party Inference Framework for Large Transformers.
    Network and Distributed System Security Symposium (NDSS), 2025
    50 cites at Google Scholar
    2568% above average of year
    Visited: May-2025
    Paper: DOI
  22. 22
    Ruijie Meng, Martin Mirchev, Marcel Böhme, and Abhik Roychoudhury:
    Large Language Model guided Protocol Fuzzing.
    Network and Distributed System Security Symposium (NDSS), 2024
    169 cites at Google Scholar
    2410% above average of year
    Visited: Jun-2025
    Paper: DOI
  23. 23
    Kallista A. Bonawitz, Vladimir Ivanov, Ben Kreuter, Antonio Marcedone, H. Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, and Karn Seth:
    Practical Secure Aggregation for Privacy-Preserving Machine Learning.
    ACM Conference on Computer and Communications Security (CCS), 2017
    3922 cites at Google Scholar
    2383% above average of year
    Visited: Jun-2025
    Paper: DOI
  24. 24
    Steven M. Bellovin and Michael Merritt:
    Encrypted key exchange: password-based protocols secure against dictionary attacks.
    IEEE Symposium on Security and Privacy (S&P), 1992
    2304 cites at Google Scholar
    2356% above average of year
    Visited: May-2025
    Paper: DOI
  25. 25
    Nicolas Papernot, Patrick D. McDaniel, Xi Wu, Somesh Jha, and Ananthram Swami:
    Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks.
    IEEE Symposium on Security and Privacy (S&P), 2016
    4168 cites at Google Scholar
    2286% above average of year
    Visited: Jun-2025
    Paper: DOI
  26. 26
    Andy Zhou, Xiaojun Xu, Ramesh Raghunathan, Alok Lal, Xinze Guan, Bin Yu, and Bo Li:
    KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data.
    ACM Conference on Computer and Communications Security (CCS), 2024
    156 cites at Google Scholar
    2217% above average of year
    Visited: Jun-2025
    Paper: DOI
  27. 27
    Li Gong, Roger M. Needham, and Raphael Yahalom:
    Reasoning about Belief in Cryptographic Protocols.
    IEEE Symposium on Security and Privacy (S&P), 1990
    1057 cites at Google Scholar
    2198% above average of year
    Visited: May-2025
    Paper: DOI
  28. 28
    Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot:
    Machine Unlearning.
    IEEE Symposium on Security and Privacy (S&P), 2021
    1156 cites at Google Scholar
    2179% above average of year
    Visited: Jun-2025
    Paper: DOI
  29. 29
    Reza Shokri and Vitaly Shmatikov:
    Privacy-Preserving Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2015
    3128 cites at Google Scholar
    2171% above average of year
    Visited: May-2025
    Paper: DOI
  30. 30
    Arvind Narayanan and Vitaly Shmatikov:
    Robust De-anonymization of Large Sparse Datasets.
    IEEE Symposium on Security and Privacy (S&P), 2008
    3612 cites at Google Scholar
    2111% above average of year
    Visited: Apr-2025
    Paper: DOI
  31. 31
    Yao Liu, Michael K. Reiter, and Peng Ning:
    False data injection attacks against state estimation in electric power grids.
    ACM Conference on Computer and Communications Security (CCS), 2009
    4001 cites at Google Scholar
    2107% above average of year
    Visited: Jun-2025
    Paper: DOI
  32. 32
    Laurent Eschenauer and Virgil D. Gligor:
    A key-management scheme for distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2002
    5594 cites at Google Scholar
    2073% above average of year
    Visited: Jun-2025
    Paper: DOI
  33. 33
    Moritz Lipp, Michael Schwarz, Daniel Gruss, Thomas Prescher, Werner Haas, Anders Fogh, Jann Horn, Stefan Mangard, Paul Kocher, Daniel Genkin, Yuval Yarom, and Mike Hamburg:
    Meltdown: Reading Kernel Memory from User Space.
    USENIX Security Symposium, 2018
    2910 cites at Google Scholar
    2070% above average of year
    Visited: Jun-2025
    Paper: DOI
  34. 34
    Matt Blaze, Joan Feigenbaum, and Jack Lacy:
    Decentralized Trust Management.
    IEEE Symposium on Security and Privacy (S&P), 1996
    3466 cites at Google Scholar
    2044% above average of year
    Visited: Mar-2025
    Paper: DOI
  35. 35
    Vern Paxson:
    Bro: A System for Detecting Network Intruders in Real-Time.
    USENIX Security Symposium, 1998
    4202 cites at Google Scholar
    2042% above average of year
    Visited: Jun-2025
    Paper: DOI
  36. 36
    Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong:
    Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.
    USENIX Security Symposium, 2020
    1537 cites at Google Scholar
    2030% above average of year
    Visited: Jun-2025
    Paper: DOI
  37. 37
    Daniel Arp, Michael Spreitzenbarth, Malte Hubner, Hugo Gascon, and Konrad Rieck:
    DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket.
    Network and Distributed System Security Symposium (NDSS), 2014
    3090 cites at Google Scholar
    2021% above average of year
    Visited: Jun-2025
    Paper: DOI
  38. 38
    Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, and Yinzhi Cao:
    SneakyPrompt: Jailbreaking Text-to-image Generative Models.
    IEEE Symposium on Security and Privacy (S&P), 2024
    135 cites at Google Scholar
    1905% above average of year
    Visited: Jun-2025
    Paper: DOI
  39. 39
    Hammond Pearce, Benjamin Tan, Baleegh Ahmad, Ramesh Karri, and Brendan Dolan-Gavitt:
    Examining Zero-Shot Vulnerability Repair with Large Language Models.
    IEEE Symposium on Security and Privacy (S&P), 2023
    347 cites at Google Scholar
    1898% above average of year
    Visited: Apr-2025
    Paper: DOI
  40. 40
    Giuseppe Ateniese, Randal C. Burns, Reza Curtmola, Joseph Herring, Lea Kissner, Zachary N. J. Peterson, and Dawn Xiaodong Song:
    Provable data possession at untrusted stores.
    ACM Conference on Computer and Communications Security (CCS), 2007
    4168 cites at Google Scholar
    1885% above average of year
    Visited: Jun-2025
    Paper: DOI
  41. 41
    Eli Ben-Sasson, Alessandro Chiesa, Christina Garman, Matthew Green, Ian Miers, Eran Tromer, and Madars Virza:
    Zerocash: Decentralized Anonymous Payments from Bitcoin.
    IEEE Symposium on Security and Privacy (S&P), 2014
    2859 cites at Google Scholar
    1863% above average of year
    Visited: Jun-2025
    Paper: DOI
  42. 42
    Reza Curtmola, Juan A. Garay, Seny Kamara, and Rafail Ostrovsky:
    Searchable symmetric encryption: improved definitions and efficient constructions.
    ACM Conference on Computer and Communications Security (CCS), 2006
    3580 cites at Google Scholar
    1861% above average of year
    Visited: May-2025
    Paper: DOI
  43. 43
    Ahmed E. Kosba, Andrew Miller, Elaine Shi, Zikai Wen, and Charalampos Papamanthou:
    Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts.
    IEEE Symposium on Security and Privacy (S&P), 2016
    3386 cites at Google Scholar
    1839% above average of year
    Visited: Jun-2025
    Paper: DOI
  44. 44
    Stephanie Forrest, Steven A. Hofmeyr, Anil Somayaji, and Thomas A. Longstaff:
    A Sense of Self for Unix Processes.
    IEEE Symposium on Security and Privacy (S&P), 1996
    3131 cites at Google Scholar
    1837% above average of year
    Visited: Jun-2025
    Paper: DOI
  45. 45
    Luca Melis, Congzheng Song, Emiliano De Cristofaro, and Vitaly Shmatikov:
    Exploiting Unintended Feature Leakage in Collaborative Learning.
    IEEE Symposium on Security and Privacy (S&P), 2019
    1999 cites at Google Scholar
    1788% above average of year
    Visited: Apr-2025
    Paper: DOI
  46. 46
    Alessandro Acquisti and Ralph Gross:
    Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook.
    International Symposium on Privacy Enhancing Technologies (PETS), 2006
    3426 cites at Google Scholar
    1777% above average of year
    Visited: Apr-2025
    Paper: DOI
  47. 47
    Manos Antonakakis, Tim April, Michael D. Bailey, Matt Bernhard, Elie Bursztein, Jaime Cochran, Zakir Durumeric, J. Alex Halderman, Luca Invernizzi, Michalis Kallitsis, Deepak Kumar, Chaz Lever, Zane Ma, Joshua Mason, Damian Menscher, Chad Seaman, Nick Sullivan, Kurt Thomas, and Yi Zhou:
    Understanding the Mirai Botnet.
    USENIX Security Symposium, 2017
    2961 cites at Google Scholar
    1774% above average of year
    Visited: Jun-2025
    Paper: DOI
  48. 48
    Saad Ullah, Mingji Han, Saurabh Pujar, Hammond Pearce, Ayse K. Coskun, and Gianluca Stringhini:
    LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks.
    IEEE Symposium on Security and Privacy (S&P), 2024
    123 cites at Google Scholar
    1727% above average of year
    Visited: Jun-2025
    Paper: DOI
  49. 49
    Yajin Zhou and Xuxian Jiang:
    Dissecting Android Malware: Characterization and Evolution.
    IEEE Symposium on Security and Privacy (S&P), 2012
    3138 cites at Google Scholar
    1725% above average of year
    Visited: Jun-2025
    Paper: DOI
  50. 50
    Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova:
    RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.
    ACM Conference on Computer and Communications Security (CCS), 2014
    2600 cites at Google Scholar
    1685% above average of year
    Visited: May-2025
    Paper: DOI
  51. 51
    Dorothy E. Denning:
    An Intrusion-Detection Model.
    IEEE Symposium on Security and Privacy (S&P), 1986
    6436 cites at Google Scholar
    1677% above average of year
    Visited: Jun-2025
    Paper: DOI
  52. 52
    Milad Nasr, Reza Shokri, and Amir Houmansadr:
    Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning.
    IEEE Symposium on Security and Privacy (S&P), 2019
    1860 cites at Google Scholar
    1656% above average of year
    Visited: Apr-2025
    Paper: DOI
  53. 53
    Bolun Wang, Yuanshun Yao, Shawn Shan, Huiying Li, Bimal Viswanath, Haitao Zheng, and Ben Y. Zhao:
    Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks.
    IEEE Symposium on Security and Privacy (S&P), 2019
    1859 cites at Google Scholar
    1655% above average of year
    Visited: Jun-2025
    Paper: DOI
  54. 54
    Weilin Xu, David Evans, and Yanjun Qi:
    Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.
    Network and Distributed System Security Symposium (NDSS), 2018
    2340 cites at Google Scholar
    1645% above average of year
    Visited: May-2025
    Paper: DOI
  55. 55
    Xinlei He, Xinyue Shen, Zeyuan Chen, Michael Backes, and Yang Zhang:
    MGTBench: Benchmarking Machine-Generated Text Detection.
    ACM Conference on Computer and Communications Security (CCS), 2024
    115 cites at Google Scholar
    1608% above average of year
    Visited: Apr-2025
    Paper: DOI
  56. 56
    Thomas Ristenpart, Eran Tromer, Hovav Shacham, and Stefan Savage:
    Hey, you, get off of my cloud: exploring information leakage in third-party compute clouds.
    ACM Conference on Computer and Communications Security (CCS), 2009
    3094 cites at Google Scholar
    1607% above average of year
    Visited: Jun-2025
    Paper: DOI
  57. 57
    Loi Luu, Duc-Hiep Chu, Hrishi Olickel, Prateek Saxena, and Aquinas Hobor:
    Making Smart Contracts Smarter.
    ACM Conference on Computer and Communications Security (CCS), 2016
    2919 cites at Google Scholar
    1571% above average of year
    Visited: Jun-2025
    Paper: DOI
  58. 58
    Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, and Konrad Rieck:
    Dos and Don'ts of Machine Learning in Computer Security.
    USENIX Security Symposium, 2022
    511 cites at Google Scholar
    1566% above average of year
    Visited: Jun-2025
    Paper: DOI
  59. 59
    Jeffrey O. Kephart and Steve R. White:
    Directed-Graph Epidemiological Models of Computer Viruses.
    IEEE Symposium on Security and Privacy (S&P), 1991
    1257 cites at Google Scholar
    1557% above average of year
    Visited: May-2025
    Paper: DOI
  60. 60
    Jiawen Zhang, Xinpeng Yang, Lipeng He, Kejia Chen, Wen-jie Lu, Yinghao Wang, Xiaoyang Hou, Jian Liu, Kui Ren, and Xiaohu Yang:
    Secure Transformer Inference Made Non-interactive.
    Network and Distributed System Security Symposium (NDSS), 2025
    31 cites at Google Scholar
    1554% above average of year
    Visited: May-2025
    Paper: DOI
  61. 61
    Haowen Chan, Adrian Perrig, and Dawn Xiaodong Song:
    Random Key Predistribution Schemes for Sensor Networks.
    IEEE Symposium on Security and Privacy (S&P), 2003
    4446 cites at Google Scholar
    1535% above average of year
    Visited: Jun-2025
    Paper: DOI
  62. 62
    Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, and Santiago Zanella Béguelin:
    Analyzing Leakage of Personally Identifiable Information in Language Models.
    IEEE Symposium on Security and Privacy (S&P), 2023
    282 cites at Google Scholar
    1524% above average of year
    Visited: Jun-2025
    Paper: DOI
  63. 63
    Karl Koscher, Alexei Czeskis, Franziska Roesner, Shwetak N. Patel, Tadayoshi Kohno, Stephen Checkoway, Damon McCoy, Brian Kantor, Danny Anderson, Hovav Shacham, and Stefan Savage:
    Experimental Security Analysis of a Modern Automobile.
    IEEE Symposium on Security and Privacy (S&P), 2010
    2675 cites at Google Scholar
    1502% above average of year
    Visited: May-2025
    Paper: DOI
  64. 64
    Zhiyuan Yu, Xiaogeng Liu, Shunning Liang, Zach Cameron, Chaowei Xiao, and Ning Zhang:
    Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models.
    USENIX Security Symposium, 2024
    105 cites at Google Scholar
    1459% above average of year
    Visited: Jun-2025
    Paper: DOI
  65. 65
    Xiaoyu Cao, Minghong Fang, Jia Liu, and Neil Zhenqiang Gong:
    FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping.
    Network and Distributed System Security Symposium (NDSS), 2021
    776 cites at Google Scholar
    1430% above average of year
    Visited: Apr-2025
    Paper: DOI
  66. 66
    Payman Mohassel and Yupeng Zhang:
    SecureML: A System for Scalable Privacy-Preserving Machine Learning.
    IEEE Symposium on Security and Privacy (S&P), 2017
    2373 cites at Google Scholar
    1402% above average of year
    Visited: Mar-2025
    Paper: DOI
  67. 67
    Joseph A. Goguen and José Meseguer:
    Security Policies and Security Models.
    IEEE Symposium on Security and Privacy (S&P), 1982
    3210 cites at Google Scholar
    1402% above average of year
    Visited: Jun-2025
    Paper: DOI
  68. 68
    Yuval Yarom and Katrina Falkner:
    FLUSH+RELOAD: A High Resolution, Low Noise, L3 Cache Side-Channel Attack.
    USENIX Security Symposium, 2014
    2150 cites at Google Scholar
    1376% above average of year
    Visited: Apr-2025
    Paper: DOI
  69. 69
    Ari Juels and Martin Wattenberg:
    A Fuzzy Commitment Scheme.
    ACM Conference on Computer and Communications Security (CCS), 1999
    2292 cites at Google Scholar
    1375% above average of year
    Visited: May-2025
    Paper: DOI
  70. 70
    Stephen Checkoway, Damon McCoy, Brian Kantor, Danny Anderson, Hovav Shacham, Stefan Savage, Karl Koscher, Alexei Czeskis, Franziska Roesner, and Tadayoshi Kohno:
    Comprehensive Experimental Analyses of Automotive Attack Surfaces.
    USENIX Security Symposium, 2011
    2410 cites at Google Scholar
    1367% above average of year
    Visited: May-2025
    Paper: DOI
  71. 71
    Robin Sommer and Vern Paxson:
    Outside the Closed World: On Using Machine Learning for Network Intrusion Detection.
    IEEE Symposium on Security and Privacy (S&P), 2010
    2429 cites at Google Scholar
    1354% above average of year
    Visited: Jun-2025
    Paper: DOI
  72. 72
    Florian Tramèr, Fan Zhang, Ari Juels, Michael K. Reiter, and Thomas Ristenpart:
    Stealing Machine Learning Models via Prediction APIs.
    USENIX Security Symposium, 2016
    2533 cites at Google Scholar
    1350% above average of year
    Visited: Jun-2025
    Paper: DOI
  73. 73
    Ye Liu, Yue Xue, Daoyuan Wu, Yuqiang Sun, Yi Li, Miaolei Shi, and Yang Liu:
    PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation.
    Network and Distributed System Security Symposium (NDSS), 2025
    27 cites at Google Scholar
    1341% above average of year
    Visited: May-2025
    Paper: DOI
  74. 74
    Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, and Ben Y. Zhao:
    Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models.
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    Paper: DOI
  75. 75
    Martín Abadi, Mihai Budiu, Úlfar Erlingsson, and Jay Ligatti:
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    Ari Juels and Burton S. Kaliski Jr.:
    Pors: proofs of retrievability for large files.
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    Joseph Bonneau, Andrew Miller, Jeremy Clark, Arvind Narayanan, Joshua A. Kroll, and Edward W. Felten:
    SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies.
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  78. 78
    Phillip A. Porras and Richard A. Kemmerer:
    Penetration state transition analysis: A rule-based intrusion detection approach.
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    Linyi Li, Tao Xie, and Bo Li:
    SoK: Certified Robustness for Deep Neural Networks.
    IEEE Symposium on Security and Privacy (S&P), 2023
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    Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, and Ling Liu:
    Data Poisoning Attacks Against Federated Learning Systems.
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  81. 81
    Yan Pang, Tianhao Wang, Xuhui Kang, Mengdi Huai, and Yang Zhang:
    White-box Membership Inference Attacks against Diffusion Models.
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  82. 82
    Franziska Boenisch, Adam Dziedzic, Roei Schuster, Ali Shahin Shamsabadi, Ilia Shumailov, and Nicolas Papernot:
    When the Curious Abandon Honesty: Federated Learning Is Not Private.
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    Neil Perry, Megha Srivastava, Deepak Kumar, and Dan Boneh:
    Do Users Write More Insecure Code with AI Assistants?
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    Wenke Lee, Salvatore J. Stolfo, and Kui W. Mok:
    A Data Mining Framework for Building Intrusion Detection Models.
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    Adrienne Porter Felt, Erika Chin, Steve Hanna, Dawn Song, and David A. Wagner:
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    Ralph C. Merkle:
    Protocols for Public Key Cryptosystems.
    IEEE Symposium on Security and Privacy (S&P), 1980
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    Alexander Warnecke, Lukas Pirch, Christian Wressnegger, and Konrad Rieck:
    Machine Unlearning of Features and Labels.
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    Alma Whitten and J. Doug Tygar:
    Why Johnny Can't Encrypt: A Usability Evaluation of PGP 5.0.
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  89. 89
    James Newsome and Dawn Xiaodong Song:
    Dynamic Taint Analysis for Automatic Detection, Analysis, and SignatureGeneration of Exploits on Commodity Software.
    Network and Distributed System Security Symposium (NDSS), 2005
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    David D. Clark and D. R. Wilson:
    A Comparison of Commercial and Military Computer Security Policies.
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    Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, and Dawn Song:
    The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks.
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  92. 92
    Arthur Gervais, Ghassan O. Karame, Karl Wüst, Vasileios Glykantzis, Hubert Ritzdorf, and Srdjan Capkun:
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  93. 93
    Thien Duc Nguyen, Phillip Rieger, Huili Chen, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Shaza Zeitouni, Farinaz Koushanfar, Ahmad-Reza Sadeghi, and Thomas Schneider:
    FLAME: Taming Backdoors in Federated Learning.
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  94. 94
    Crispin Cowan, Calton Pu, Dave Maier, Heather Hintony, Jonathan Walpole, Peat Bakke, Steve Beattie, Aaron Grier, Perry Wagle, and Qian Zhang:
    StackGuard: Automatic Adaptive Detection and Prevention of Buffer-Overflow Attacks.
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  95. 95
    Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, and Rahul Sharma:
    SIGMA: Secure GPT Inference with Function Secret Sharing.
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  96. 96
    Benedikt Bünz, Jonathan Bootle, Dan Boneh, Andrew Poelstra, Pieter Wuille, and Gregory Maxwell:
    Bulletproofs: Short Proofs for Confidential Transactions and More.
    IEEE Symposium on Security and Privacy (S&P), 2018
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  97. 97
    Min Du, Feifei Li, Guineng Zheng, and Vivek Srikumar:
    DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2017
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  98. 98
    Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, and Yang Zhang:
    Dynamic Backdoor Attacks Against Machine Learning Models.
    IEEE European Symposium on Security and Privacy (EuroS&P), 2022
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  99. 99
    Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, and Arthur Gervais:
    SoK: Decentralized Finance (DeFi) Attacks.
    IEEE Symposium on Security and Privacy (S&P), 2023
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  100. 100
    Julien Piet, Maha Alrashed, Chawin Sitawarin, Sizhe Chen, Zeming Wei, Elizabeth Sun, Basel Alomair, and David A. Wagner:
    Jatmo: Prompt Injection Defense by Task-Specific Finetuning.
    European Symposium on Research in Computer Security (ESORICS), 2024
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    1118% above average of year
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    Paper: DOI

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Last updated: 2025-06-27 19:55:32 CEST