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 ⌄
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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
10346% above average of year
Visited: Mar-2025
-
2
Nicholas Carlini and David A. Wagner:
Towards Evaluating the Robustness of Neural Networks.
IEEE Symposium on Security and Privacy (S&P), 2017
7023% above average of year
Visited: Apr-2025
-
3
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
4797% above average of year
Visited: Apr-2025
-
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
4481% above average of year
Visited: Jan-2025
-
5
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
4454% above average of year
Visited: Apr-2025
-
6
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
4415% above average of year
Visited: Mar-2025
-
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
4411% above average of year
Visited: Apr-2025
-
8
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
3952% above average of year
Visited: Mar-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
3920% above average of year
Visited: Apr-2025
-
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
3532% above average of year
Visited: Apr-2025
-
11
John Bethencourt, Amit Sahai, and Brent Waters:
Ciphertext-Policy Attribute-Based Encryption.
IEEE Symposium on Security and Privacy (S&P), 2007
3261% above average of year
Visited: Mar-2025
-
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
3159% above average of year
Visited: Feb-2025
-
13
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
2954% above average of year
Visited: Dec-2024
-
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
2939% above average of year
Visited: Dec-2024
-
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
2925% above average of year
Visited: Mar-2025
-
16
D. F. C. Brewer and Michael J. Nash:
The Chinese Wall Security Policy.
IEEE Symposium on Security and Privacy (S&P), 1989
2907% above average of year
Visited: Mar-2025
-
17
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
2855% above average of year
Visited: Apr-2025
-
18
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
2757% above average of year
Visited: Apr-2025
-
19
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
2641% above average of year
Visited: Feb-2025
-
20
Roger Dingledine, Nick Mathewson, and Paul F. Syverson:
Tor: The Second-Generation Onion Router.
USENIX Security Symposium, 2004
2526% above average of year
Visited: Jan-2025
-
21
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
2483% above average of year
Visited: Apr-2025
-
22
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
2446% above average of year
Visited: Dec-2024
-
23
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
2363% above average of year
Visited: Apr-2025
-
24
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: Feb-2025
-
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
2247% above average of year
Visited: Jan-2025
-
26
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
2178% above average of year
Visited: Jan-2025
-
27
Arvind Narayanan and Vitaly Shmatikov:
Robust De-anonymization of Large Sparse Datasets.
IEEE Symposium on Security and Privacy (S&P), 2008
2142% above average of year
Visited: Apr-2025
-
28
Reza Shokri and Vitaly Shmatikov:
Privacy-Preserving Deep Learning.
ACM Conference on Computer and Communications Security (CCS), 2015
2105% above average of year
Visited: Apr-2025
-
29
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
2103% above average of year
Visited: Feb-2025
-
30
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
2082% above average of year
Visited: Apr-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
2078% above average of year
Visited: Apr-2025
-
32
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
2052% above average of year
Visited: Mar-2025
-
33
Vern Paxson:
Bro: A System for Detecting Network Intruders in Real-Time.
USENIX Security Symposium, 1998
1990% above average of year
Visited: Jan-2025
-
34
Matt Blaze, Joan Feigenbaum, and Jack Lacy:
Decentralized Trust Management.
IEEE Symposium on Security and Privacy (S&P), 1996
1970% above average of year
Visited: Mar-2025
-
35
Laurent Eschenauer and Virgil D. Gligor:
A key-management scheme for distributed sensor networks.
ACM Conference on Computer and Communications Security (CCS), 2002
1942% above average of year
Visited: Mar-2025
-
36
Jan Lauinger, Jens Ernstberger, Andreas Finkenzeller, and Sebastian Steinhorst:
Janus: Fast Privacy-Preserving Data Provenance For TLS.
Proceedings on Privacy Enhancing Technologies (PoPETS), 2025
1926% above average of year
Visited: Jan-2025
-
37
Jayshree Sarathy and Salil P. Vadhan:
Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression.
Proceedings on Privacy Enhancing Technologies (PoPETS), 2025
1926% above average of year
Visited: Mar-2025
-
38
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
1891% above average of year
Visited: Jan-2025
-
39
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
1879% above average of year
Visited: Apr-2025
-
40
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
1876% above average of year
Visited: Apr-2025
-
41
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
1839% above average of year
Visited: Apr-2025
-
42
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
1835% above average of year
Visited: Dec-2024
-
43
Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong:
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.
USENIX Security Symposium, 2020
1807% above average of year
Visited: Jan-2025
-
44
Li Gong, Roger M. Needham, and Raphael Yahalom:
Reasoning about Belief in Cryptographic Protocols.
IEEE Symposium on Security and Privacy (S&P), 1990
1806% above average of year
Visited: Feb-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
1798% above average of year
Visited: Apr-2025
-
46
Alessandro Acquisti and Ralph Gross:
Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook.
International Symposium on Privacy Enhancing Technologies (PETS), 2006
1763% above average of year
Visited: Jan-2025
-
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
1756% above average of year
Visited: Apr-2025
-
48
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
1755% above average of year
Visited: Jan-2025
-
49
Yajin Zhou and Xuxian Jiang:
Dissecting Android Malware: Characterization and Evolution.
IEEE Symposium on Security and Privacy (S&P), 2012
1727% above average of year
Visited: Apr-2025
-
50
Weilin Xu, David Evans, and Yanjun Qi:
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.
Network and Distributed System Security Symposium (NDSS), 2018
1691% above average of year
Visited: Apr-2025
-
51
Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova:
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.
ACM Conference on Computer and Communications Security (CCS), 2014
1642% above average of year
Visited: Apr-2025
-
52
Dorothy E. Denning:
An Intrusion-Detection Model.
IEEE Symposium on Security and Privacy (S&P), 1986
1633% above average of year
Visited: Mar-2025
-
53
Charles Gouert, Vinu Joseph, Steven Dalton, Cédric Augonnet, Michael Garland, and Nektarios Georgios Tsoutsos:
Hardware-Accelerated Encrypted Execution of General-Purpose Applications.
Proceedings on Privacy Enhancing Technologies (PoPETS), 2025
1614% above average of year
Visited: Mar-2025
-
54
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
1598% above average of year
Visited: Dec-2024
-
55
Jeffrey O. Kephart and Steve R. White:
Directed-Graph Epidemiological Models of Computer Viruses.
IEEE Symposium on Security and Privacy (S&P), 1991
1593% above average of year
Visited: Apr-2025
-
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
1585% 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
1567% above average of year
Visited: Jan-2025
-
58
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
1544% above average of year
Visited: Apr-2025
-
59
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
1538% above average of year
Visited: Apr-2025
-
60
Haowen Chan, Adrian Perrig, and Dawn Xiaodong Song:
Random Key Predistribution Schemes for Sensor Networks.
IEEE Symposium on Security and Privacy (S&P), 2003
1527% above average of year
Visited: Mar-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
1527% above average of year
Visited: Mar-2025
-
62
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
1520% above average of year
Visited: Feb-2025
-
63
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
1485% above average of year
Visited: Feb-2025
-
64
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
1473% above average of year
Visited: Mar-2025
-
65
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
1473% above average of year
Visited: Mar-2025
-
66
Sofía Celi, Alex Davidson, Hamed Haddadi, Gonçalo Pestana, and Joe Rowell:
DiStefano: Decentralized Infrastructure for Sharing Trusted Encrypted Facts and Nothing More.
Network and Distributed System Security Symposium (NDSS), 2025
1458% above average of year
Visited: Apr-2025
-
67
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
1458% above average of year
Visited: Apr-2025
-
68
Hammond Pearce, Baleegh Ahmad, Benjamin Tan, Brendan Dolan-Gavitt, and Ramesh Karri:
Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions.
IEEE Symposium on Security and Privacy (S&P), 2022
1435% above average of year
Visited: Dec-2024
-
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
1405% above average of year
Visited: Mar-2025
-
70
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
1405% above average of year
Visited: Jan-2025
-
71
Joseph A. Goguen and José Meseguer:
Security Policies and Security Models.
IEEE Symposium on Security and Privacy (S&P), 1982
1397% above average of year
Visited: Jan-2025
-
72
Payman Mohassel and Yupeng Zhang:
SecureML: A System for Scalable Privacy-Preserving Machine Learning.
IEEE Symposium on Security and Privacy (S&P), 2017
1387% above average of year
Visited: Jan-2025
-
73
Yuval Yarom and Katrina Falkner:
FLUSH+RELOAD: A High Resolution, Low Noise, L3 Cache Side-Channel Attack.
USENIX Security Symposium, 2014
1356% above average of year
Visited: Apr-2025
-
74
Linyi Li, Tao Xie, and Bo Li:
SoK: Certified Robustness for Deep Neural Networks.
IEEE Symposium on Security and Privacy (S&P), 2023
1346% above average of year
Visited: Mar-2025
-
75
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
1339% above average of year
Visited: Feb-2025
-
76
Florian Tramèr, Fan Zhang, Ari Juels, Michael K. Reiter, and Thomas Ristenpart:
Stealing Machine Learning Models via Prediction APIs.
USENIX Security Symposium, 2016
1333% above average of year
Visited: Mar-2025
-
77
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
1320% above average of year
Visited: Apr-2025
-
78
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
1312% above average of year
Visited: Mar-2025
-
79
Xiaochen Zhu, Xinjian Luo, Yuncheng Wu, Yangfan Jiang, Xiaokui Xiao, and Beng Chin Ooi:
Passive Inference Attacks on Split Learning via Adversarial Regularization.
Network and Distributed System Security Symposium (NDSS), 2025
1302% above average of year
Visited: Mar-2025
-
80
Phillip A. Porras and Richard A. Kemmerer:
Penetration state transition analysis: A rule-based intrusion detection approach.
Annual Computer Security Applications Conference (ACSAC), 1992
1302% above average of year
Visited: Mar-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
1298% above average of year
Visited: Jan-2025
-
82
Ari Juels and Burton S. Kaliski Jr.:
Pors: proofs of retrievability for large files.
ACM Conference on Computer and Communications Security (CCS), 2007
1295% above average of year
Visited: Dec-2024
-
83
Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, and Rahul Sharma:
SIGMA: Secure GPT Inference with Function Secret Sharing.
Proceedings on Privacy Enhancing Technologies (PoPETS), 2024
1293% above average of year
Visited: Mar-2025
-
84
Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, and Ruoxi Jia:
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information.
ACM Conference on Computer and Communications Security (CCS), 2023
1284% above average of year
Visited: Apr-2025
-
85
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
1278% above average of year
Visited: Mar-2025
-
86
Martín Abadi, Mihai Budiu, Úlfar Erlingsson, and Jay Ligatti:
Control-flow integrity.
ACM Conference on Computer and Communications Security (CCS), 2005
1264% above average of year
Visited: Dec-2024
-
87
Alexander Warnecke, Lukas Pirch, Christian Wressnegger, and Konrad Rieck:
Machine Unlearning of Features and Labels.
Network and Distributed System Security Symposium (NDSS), 2023
1264% above average of year
Visited: Apr-2025
-
88
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
1251% above average of year
Visited: Feb-2025
-
89
Yupei Liu, Yuqi Jia, Runpeng Geng, Jinyuan Jia, and Neil Zhenqiang Gong:
Formalizing and Benchmarking Prompt Injection Attacks and Defenses.
USENIX Security Symposium, 2024
1225% above average of year
Visited: Mar-2025
-
90
Ari Juels and Martin Wattenberg:
A Fuzzy Commitment Scheme.
ACM Conference on Computer and Communications Security (CCS), 1999
1224% above average of year
Visited: Feb-2025
-
91
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
1196% above average of year
Visited: Apr-2025
-
92
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
1177% above average of year
Visited: Jan-2025
-
93
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
1171% above average of year
Visited: Feb-2025
-
94
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
1167% above average of year
Visited: Apr-2025
-
95
Jianbo Chen, Michael I. Jordan, and Martin J. Wainwright:
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack.
IEEE Symposium on Security and Privacy (S&P), 2020
1166% above average of year
Visited: Mar-2025
-
96
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
1165% above average of year
Visited: Mar-2025
-
97
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
1162% above average of year
Visited: Jan-2025
-
98
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
1154% above average of year
Visited: Jan-2025
-
99
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
1146% above average of year
Visited: Apr-2025
-
100
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
1144% above average of year
Visited: Apr-2025