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
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
7833% above average of year
Visited: May-2025
-
2
Nicholas Carlini and David A. Wagner:
Towards Evaluating the Robustness of Neural Networks.
IEEE Symposium on Security and Privacy (S&P), 2017
7054% above average of year
Visited: Jun-2025
-
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
5494% above average of year
Visited: Jun-2025
-
4
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
4900% above average of year
Visited: May-2025
-
5
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
4722% above average of year
Visited: Jun-2025
-
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
4596% above average of year
Visited: Jul-2025
-
7
Mihir Bellare and Phillip Rogaway:
Random Oracles are Practical: A Paradigm for Designing Efficient Protocols.
ACM Conference on Computer and Communications Security (CCS), 1993
4544% above average of year
Visited: Jun-2025
-
8
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
4300% above average of year
Visited: Jun-2025
-
9
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
3946% above average of year
Visited: Apr-2025
-
10
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
3606% above average of year
Visited: Jul-2025
-
11
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
3506% above average of year
Visited: May-2025
-
12
John Bethencourt, Amit Sahai, and Brent Waters:
Ciphertext-Policy Attribute-Based Encryption.
IEEE Symposium on Security and Privacy (S&P), 2007
3338% above average of year
Visited: May-2025
-
13
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
3170% above average of year
Visited: Jun-2025
-
14
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
3035% above average of year
Visited: Jun-2025
-
15
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
3000% above average of year
Visited: May-2025
-
16
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
2990% above average of year
Visited: Jun-2025
-
17
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
2987% above average of year
Visited: Jun-2025
-
18
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
2866% above average of year
Visited: Jun-2025
-
19
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
2800% above average of year
Visited: Jun-2025
-
20
D. F. C. Brewer and Michael J. Nash:
The Chinese Wall Security Policy.
IEEE Symposium on Security and Privacy (S&P), 1989
2761% above average of year
Visited: May-2025
-
21
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
2677% above average of year
Visited: Jun-2025
-
22
Roger Dingledine, Nick Mathewson, and Paul F. Syverson:
Tor: The Second-Generation Onion Router.
USENIX Security Symposium, 2004
2610% above average of year
Visited: Jul-2025
-
23
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
2600% above average of year
Visited: May-2025
-
24
Yan Pang, Tianhao Wang, Xuhui Kang, Mengdi Huai, and Yang Zhang:
White-box Membership Inference Attacks against Diffusion Models.
Proceedings on Privacy Enhancing Technologies (PoPETS), 2025
2500% above average of year
Visited: May-2025
-
25
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
2361% above average of year
Visited: Jun-2025
-
26
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
2359% above average of year
Visited: Jul-2025
-
27
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
2290% above average of year
Visited: Jun-2025
-
28
Ruijie Meng, Martin Mirchev, Marcel Böhme, and Abhik Roychoudhury:
Large Language Model guided Protocol Fuzzing.
Network and Distributed System Security Symposium (NDSS), 2024
2281% above average of year
Visited: Jun-2025
-
29
Li Gong, Roger M. Needham, and Raphael Yahalom:
Reasoning about Belief in Cryptographic Protocols.
IEEE Symposium on Security and Privacy (S&P), 1990
2197% above average of year
Visited: May-2025
-
30
Reza Shokri and Vitaly Shmatikov:
Privacy-Preserving Deep Learning.
ACM Conference on Computer and Communications Security (CCS), 2015
2167% above average of year
Visited: May-2025
-
31
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
2155% above average of year
Visited: Jun-2025
-
32
Arvind Narayanan and Vitaly Shmatikov:
Robust De-anonymization of Large Sparse Datasets.
IEEE Symposium on Security and Privacy (S&P), 2008
2136% above average of year
Visited: Apr-2025
-
33
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
2104% above average of year
Visited: Jul-2025
-
34
Shuo Shao, Yiming Li, Hongwei Yao, Yiling He, Zhan Qin, and Kui Ren:
Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature Attribution.
Network and Distributed System Security Symposium (NDSS), 2025
2100% above average of year
Visited: May-2025
-
35
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
2098% above average of year
Visited: Jun-2025
-
36
Matt Blaze, Joan Feigenbaum, and Jack Lacy:
Decentralized Trust Management.
IEEE Symposium on Security and Privacy (S&P), 1996
2048% above average of year
Visited: Jul-2025
-
37
Vern Paxson:
Bro: A System for Detecting Network Intruders in Real-Time.
USENIX Security Symposium, 1998
2044% above average of year
Visited: Jul-2025
-
38
Laurent Eschenauer and Virgil D. Gligor:
A key-management scheme for distributed sensor networks.
ACM Conference on Computer and Communications Security (CCS), 2002
2014% above average of year
Visited: Jun-2025
-
39
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
2001% above average of year
Visited: Jun-2025
-
40
Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong:
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.
USENIX Security Symposium, 2020
1995% above average of year
Visited: Jun-2025
-
41
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
1892% above average of year
Visited: Jun-2025
-
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
1882% above average of year
Visited: Jul-2025
-
43
Yupei Liu, Yuqi Jia, Runpeng Geng, Jinyuan Jia, and Neil Zhenqiang Gong:
Formalizing and Benchmarking Prompt Injection Attacks and Defenses.
USENIX Security Symposium, 2024
1859% above average of year
Visited: Jul-2025
-
44
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
1857% above average of year
Visited: Apr-2025
-
45
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
1850% above average of year
Visited: Jun-2025
-
46
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
1842% above average of year
Visited: Jun-2025
-
47
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
1835% above average of year
Visited: Jun-2025
-
48
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
1802% above average of year
Visited: Jun-2025
-
49
Alessandro Acquisti and Ralph Gross:
Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook.
International Symposium on Privacy Enhancing Technologies (PETS), 2006
1776% above average of year
Visited: Apr-2025
-
50
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
1765% above average of year
Visited: Jul-2025
-
51
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
1760% above average of year
Visited: Apr-2025
-
52
Yajin Zhou and Xuxian Jiang:
Dissecting Android Malware: Characterization and Evolution.
IEEE Symposium on Security and Privacy (S&P), 2012
1710% above average of year
Visited: Jun-2025
-
53
Weilin Xu, David Evans, and Yanjun Qi:
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.
Network and Distributed System Security Symposium (NDSS), 2018
1688% above average of year
Visited: Jun-2025
-
54
Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova:
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.
ACM Conference on Computer and Communications Security (CCS), 2014
1668% above average of year
Visited: May-2025
-
55
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
1633% above average of year
Visited: Jun-2025
-
56
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
1630% above average of year
Visited: Apr-2025
-
57
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
1629% above average of year
Visited: Jun-2025
-
58
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
1606% above average of year
Visited: Jul-2025
-
59
Tian Dong, Minhui Xue, Guoxing Chen, Rayne Holland, Yan Meng, Shaofeng Li, Zhen Liu, and Haojin Zhu:
The Philosopher's Stone: Trojaning Plugins of Large Language Models.
Network and Distributed System Security Symposium (NDSS), 2025
1600% above average of year
Visited: Jun-2025
-
60
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
1574% above average of year
Visited: Jun-2025
-
61
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
1560% above average of year
Visited: Jul-2025
-
62
Jeffrey O. Kephart and Steve R. White:
Directed-Graph Epidemiological Models of Computer Viruses.
IEEE Symposium on Security and Privacy (S&P), 1991
1556% above average of year
Visited: May-2025
-
63
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
1536% above average of year
Visited: Jun-2025
-
64
Haowen Chan, Adrian Perrig, and Dawn Xiaodong Song:
Random Key Predistribution Schemes for Sensor Networks.
IEEE Symposium on Security and Privacy (S&P), 2003
1534% above average of year
Visited: Jun-2025
-
65
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
1520% above average of year
Visited: Apr-2025
-
66
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
1507% above average of year
Visited: Jun-2025
-
67
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
1502% above average of year
Visited: Jul-2025
-
68
Payman Mohassel and Yupeng Zhang:
SecureML: A System for Scalable Privacy-Preserving Machine Learning.
IEEE Symposium on Security and Privacy (S&P), 2017
1470% above average of year
Visited: Jul-2025
-
69
Shawn Shan, Wenxin Ding, Josephine Passananti, Stanley Wu, Haitao Zheng, and Ben Y. Zhao:
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models.
IEEE Symposium on Security and Privacy (S&P), 2024
1422% above average of year
Visited: Jun-2025
-
70
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
1414% above average of year
Visited: Apr-2025
-
71
Joseph A. Goguen and José Meseguer:
Security Policies and Security Models.
IEEE Symposium on Security and Privacy (S&P), 1982
1402% above average of year
Visited: Jun-2025
-
72
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
1401% above average of year
Visited: Jul-2025
-
73
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
1390% above average of year
Visited: Jul-2025
-
74
Ari Juels and Martin Wattenberg:
A Fuzzy Commitment Scheme.
ACM Conference on Computer and Communications Security (CCS), 1999
1381% above average of year
Visited: Jun-2025
-
75
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
1379% above average of year
Visited: Jun-2025
-
76
Yuval Yarom and Katrina Falkner:
FLUSH+RELOAD: A High Resolution, Low Noise, L3 Cache Side-Channel Attack.
USENIX Security Symposium, 2014
1362% above average of year
Visited: Apr-2025
-
77
Florian Tramèr, Fan Zhang, Ari Juels, Michael K. Reiter, and Thomas Ristenpart:
Stealing Machine Learning Models via Prediction APIs.
USENIX Security Symposium, 2016
1359% above average of year
Visited: Jul-2025
-
78
Martín Abadi, Mihai Budiu, Úlfar Erlingsson, and Jay Ligatti:
Control-flow integrity.
ACM Conference on Computer and Communications Security (CCS), 2005
1334% above average of year
Visited: Jun-2025
-
79
Joseph Bonneau, Andrew Miller, Jeremy Clark, Arvind Narayanan, Joshua A. Kroll, and Edward W. Felten:
SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies.
IEEE Symposium on Security and Privacy (S&P), 2015
1330% above average of year
Visited: Jul-2025
-
80
Ari Juels and Burton S. Kaliski Jr.:
Pors: proofs of retrievability for large files.
ACM Conference on Computer and Communications Security (CCS), 2007
1328% above average of year
Visited: Jun-2025
-
81
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.
USENIX Security Symposium, 2023
1310% above average of year
Visited: Jun-2025
-
82
Phillip A. Porras and Richard A. Kemmerer:
Penetration state transition analysis: A rule-based intrusion detection approach.
Annual Computer Security Applications Conference (ACSAC), 1992
1303% above average of year
Visited: Jun-2025
-
83
Yan Pang and Tianhao Wang:
Black-box Membership Inference Attacks against Fine-tuned Diffusion Models.
Network and Distributed System Security Symposium (NDSS), 2025
1300% above average of year
Visited: May-2025
-
84
Cong Zuo, Shangqi Lai, Shi-Feng Sun, Xingliang Yuan, Joseph K. Liu, Jun Shao, Huaxiong Wang, Liehuang Zhu, and Shujie Cui:
Searchable Encryption for Conjunctive Queries with Extended Forward and Backward Privacy.
Proceedings on Privacy Enhancing Technologies (PoPETS), 2025
1300% above average of year
Visited: Jun-2025
-
85
Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, and Ling Liu:
Data Poisoning Attacks Against Federated Learning Systems.
European Symposium on Research in Computer Security (ESORICS), 2020
1275% above average of year
Visited: Jun-2025
-
86
Linyi Li, Tao Xie, and Bo Li:
SoK: Certified Robustness for Deep Neural Networks.
IEEE Symposium on Security and Privacy (S&P), 2023
1271% above average of year
Visited: Jun-2025
-
87
Wenke Lee, Salvatore J. Stolfo, and Kui W. Mok:
A Data Mining Framework for Building Intrusion Detection Models.
IEEE Symposium on Security and Privacy (S&P), 1999
1266% above average of year
Visited: Jun-2025
-
88
Franziska Boenisch, Adam Dziedzic, Roei Schuster, Ali Shahin Shamsabadi, Ilia Shumailov, and Nicolas Papernot:
When the Curious Abandon Honesty: Federated Learning Is Not Private.
IEEE European Symposium on Security and Privacy (EuroS&P), 2023
1254% above average of year
Visited: Jun-2025
-
89
Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, and Dawn Song:
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks.
USENIX Security Symposium, 2019
1243% above average of year
Visited: Jun-2025
-
90
Adrienne Porter Felt, Erika Chin, Steve Hanna, Dawn Song, and David A. Wagner:
Android permissions demystified.
ACM Conference on Computer and Communications Security (CCS), 2011
1243% above average of year
Visited: Jun-2025
-
91
Neil Perry, Megha Srivastava, Deepak Kumar, and Dan Boneh:
Do Users Write More Insecure Code with AI Assistants?
ACM Conference on Computer and Communications Security (CCS), 2023
1243% above average of year
Visited: Jun-2025
-
92
Ralph C. Merkle:
Protocols for Public Key Cryptosystems.
IEEE Symposium on Security and Privacy (S&P), 1980
1223% above average of year
Visited: Jun-2025
-
93
David D. Clark and D. R. Wilson:
A Comparison of Commercial and Military Computer Security Policies.
IEEE Symposium on Security and Privacy (S&P), 1987
1216% above average of year
Visited: Apr-2025
-
94
Alma Whitten and J. Doug Tygar:
Why Johnny Can't Encrypt: A Usability Evaluation of PGP 5.0.
USENIX Security Symposium, 1999
1214% above average of year
Visited: Jun-2025
-
95
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
1210% above average of year
Visited: Jun-2025
-
96
Philip Daian, Steven Goldfeder, Tyler Kell, Yunqi Li, Xueyuan Zhao, Iddo Bentov, Lorenz Breidenbach, and Ari Juels:
Flash Boys 2.0: Frontrunning in Decentralized Exchanges, Miner Extractable Value, and Consensus Instability.
IEEE Symposium on Security and Privacy (S&P), 2020
1208% above average of year
Visited: Jun-2025
-
97
Jayshree Sarathy and Salil P. Vadhan:
Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression.
Proceedings on Privacy Enhancing Technologies (PoPETS), 2025
1200% above average of year
Visited: Jun-2025
-
98
Alexander Warnecke, Lukas Pirch, Christian Wressnegger, and Konrad Rieck:
Machine Unlearning of Features and Labels.
Network and Distributed System Security Symposium (NDSS), 2023
1192% above average of year
Visited: Jun-2025
-
99
Arthur Gervais, Ghassan O. Karame, Karl Wüst, Vasileios Glykantzis, Hubert Ritzdorf, and Srdjan Capkun:
On the Security and Performance of Proof of Work Blockchains.
ACM Conference on Computer and Communications Security (CCS), 2016
1185% above average of year
Visited: Jun-2025
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100
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.
USENIX Security Symposium, 1998
1163% above average of year
Visited: Jun-2025