Security Papers from the 2020s

This webpage is an attempt to assemble a ranking of top-cited security papers from the 2020s. The ranking has been created based on citations of papers published at top security conferences. More details are available here.

Top-cited papers from 2023 ⌄

  1. 1
    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
    121 cites at Google Scholar
    4448% above average of year
    Last visited: Oct-2023
    Paper: DOI
  2. 2
    Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, and Bo Li:
    RAB: Provable Robustness Against Backdoor Attacks.
    IEEE Symposium on Security and Privacy, 2023
    97 cites at Google Scholar
    3546% above average of year
    Last visited: Oct-2023
    Paper: DOI
  3. 3
    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, 2023
    86 cites at Google Scholar
    3133% above average of year
    Last visited: Oct-2023
    Paper: DOI
  4. 4
    Linyi Li, Tao Xie, and Bo Li:
    SoK: Certified Robustness for Deep Neural Networks.
    IEEE Symposium on Security and Privacy, 2023
    86 cites at Google Scholar
    3133% above average of year
    Last visited: Oct-2023
    Paper: DOI
  5. 5
    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, 2023
    48 cites at Google Scholar
    1704% above average of year
    Last visited: Oct-2023
    Paper: DOI
  6. 6
    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
    31 cites at Google Scholar
    1065% above average of year
    Last visited: Oct-2023
    Paper: DOI
  7. 7
    Kushal Babel, Philip Daian, Mahimna Kelkar, and Ari Juels:
    Clockwork Finance: Automated Analysis of Economic Security in Smart Contracts.
    IEEE Symposium on Security and Privacy, 2023
    31 cites at Google Scholar
    1065% above average of year
    Last visited: Oct-2023
    Paper: DOI
  8. 8
    Alexandra Henzinger, Matthew M. Hong, Henry Corrigan-Gibbs, Sarah Meiklejohn, and Vinod Vaikuntanathan:
    One Server for the Price of Two: Simple and Fast Single-Server Private Information Retrieval.
    USENIX Security Symposium, 2023
    31 cites at Google Scholar
    1065% above average of year
    Last visited: Oct-2023
    Paper: DOI
  9. 9
    Ehud Aharoni, Allon Adir, Moran Baruch, Nir Drucker, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Guy Moshkowich, Dov Murik, Hayim Shaul, and Omri Soceanu:
    HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data.
    Proceedings on Privacy Enhancing Technologies, 2023
    29 cites at Google Scholar
    990% above average of year
    Last visited: Oct-2023
    Paper: DOI
  10. 10
    Piergiorgio Ladisa, Henrik Plate, Matias Martinez, and Olivier Barais:
    SoK: Taxonomy of Attacks on Open-Source Software Supply Chains.
    IEEE Symposium on Security and Privacy, 2023
    28 cites at Google Scholar
    952% above average of year
    Last visited: Oct-2023
    Paper: DOI

Top-cited papers from 2022 ⌄

  1. 1
    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, 2022
    210 cites at Google Scholar
    2058% above average of year
    Last visited: Oct-2023
    Paper: DOI
  2. 2
    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, 2022
    192 cites at Google Scholar
    1873% above average of year
    Last visited: Oct-2023
    Paper: DOI
  3. 3
    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
    180 cites at Google Scholar
    1750% above average of year
    Last visited: Oct-2023
    Paper: DOI
  4. 4
    Kaihua Qin, Liyi Zhou, and Arthur Gervais:
    Quantifying Blockchain Extractable Value: How dark is the forest?
    IEEE Symposium on Security and Privacy, 2022
    170 cites at Google Scholar
    1647% above average of year
    Last visited: Oct-2023
    Paper: DOI
  5. 5
    Virat Shejwalkar, Amir Houmansadr, Peter Kairouz, and Daniel Ramage:
    Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning.
    IEEE Symposium on Security and Privacy, 2022
    130 cites at Google Scholar
    1236% above average of year
    Last visited: Oct-2023
    Paper: DOI
  6. 6
    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, 2022
    126 cites at Google Scholar
    1195% above average of year
    Last visited: Oct-2023
    Paper: DOI
  7. 7
    Dipanjan Das, Priyanka Bose, Nicola Ruaro, Christopher Kruegel, and Giovanni Vigna:
    Understanding Security Issues in the NFT Ecosystem.
    ACM Conference on Computer and Communications Security (CCS), 2022
    104 cites at Google Scholar
    969% above average of year
    Last visited: Oct-2023
    Paper: DOI
  8. 8
    Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Vincent Bindschaedler, and Reza Shokri:
    Enhanced Membership Inference Attacks against Machine Learning Models.
    ACM Conference on Computer and Communications Security (CCS), 2022
    91 cites at Google Scholar
    835% above average of year
    Last visited: Oct-2023
    Paper: DOI
  9. 9
    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.
    USENIX Security Symposium, 2022
    87 cites at Google Scholar
    794% above average of year
    Last visited: Oct-2023
    Paper: DOI
  10. 10
    Theresa Stadler, Bristena Oprisanu, and Carmela Troncoso:
    Synthetic Data - Anonymisation Groundhog Day.
    USENIX Security Symposium, 2022
    84 cites at Google Scholar
    763% above average of year
    Last visited: Oct-2023
    Paper: DOI

Top-cited papers from 2021 ⌄

  1. 1
    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
    779 cites at Google Scholar
    3076% above average of year
    Last visited: Oct-2023
    Paper: DOI
  2. 2
    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, 2021
    320 cites at Google Scholar
    1204% above average of year
    Last visited: Oct-2023
    Paper: DOI
  3. 3
    Lorenzo Grassi, Dmitry Khovratovich, Christian Rechberger, Arnab Roy, and Markus Schofnegger:
    Poseidon: A New Hash Function for Zero-Knowledge Proof Systems.
    USENIX Security Symposium, 2021
    248 cites at Google Scholar
    911% above average of year
    Last visited: Oct-2023
    Paper: DOI
  4. 4
    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
    237 cites at Google Scholar
    866% above average of year
    Last visited: Oct-2023
    Paper: DOI
  5. 5
    Liwei Song and Prateek Mittal:
    Systematic Evaluation of Privacy Risks of Machine Learning Models.
    USENIX Security Symposium, 2021
    206 cites at Google Scholar
    740% above average of year
    Last visited: Oct-2023
    Paper: DOI
  6. 6
    Xiaoyi Chen, Ahmed Salem, Dingfan Chen, Michael Backes, Shiqing Ma, Qingni Shen, Zhonghai Wu, and Yang Zhang:
    BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements.
    Annual Computer Security Applications Conference (ACSAC), 2021
    206 cites at Google Scholar
    740% above average of year
    Last visited: Oct-2023
    Paper: DOI
  7. 7
    Eugene Bagdasaryan and Vitaly Shmatikov:
    Blind Backdoors in Deep Learning Models.
    USENIX Security Symposium, 2021
    204 cites at Google Scholar
    732% above average of year
    Last visited: Oct-2023
    Paper: DOI
  8. 8
    Xiaojun Xu, Qi Wang, Huichen Li, Nikita Borisov, Carl A. Gunter, and Bo Li:
    Detecting AI Trojans Using Meta Neural Analysis.
    IEEE Symposium on Security and Privacy, 2021
    196 cites at Google Scholar
    699% above average of year
    Last visited: Oct-2023
    Paper: DOI
  9. 9
    Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, and Tal Rabin:
    Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning.
    Proceedings on Privacy Enhancing Technologies, 2021
    187 cites at Google Scholar
    662% above average of year
    Last visited: Oct-2023
    Paper: DOI
  10. 10
    Virat Shejwalkar and Amir Houmansadr:
    Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses for Federated Learning.
    Network and Distributed System Security Symposium (NDSS), 2021
    174 cites at Google Scholar
    609% above average of year
    Last visited: Oct-2023
    Paper: DOI

Top-cited papers from 2020 ⌄

  1. 1
    Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong:
    Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.
    USENIX Security Symposium, 2020
    705 cites at Google Scholar
    1479% above average of year
    Last visited: Oct-2023
    Paper: DOI
  2. 2
    Jianbo Chen, Michael I. Jordan, and Martin J. Wainwright:
    HopSkipJumpAttack: A Query-Efficient Decision-Based Attack.
    IEEE Symposium on Security and Privacy, 2020
    535 cites at Google Scholar
    1098% above average of year
    Last visited: Oct-2023
    Paper: DOI
  3. 3
    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
    444 cites at Google Scholar
    894% above average of year
    Last visited: Oct-2023
    Paper: DOI
  4. 4
    Pratyush Mishra, Ryan Lehmkuhl, Akshayaram Srinivasan, Wenting Zheng, and Raluca Ada Popa:
    Delphi: A Cryptographic Inference Service for Neural Networks.
    USENIX Security Symposium, 2020
    344 cites at Google Scholar
    670% above average of year
    Last visited: Oct-2023
    Paper: DOI
  5. 5
    Marcel Keller:
    MP-SPDZ: A Versatile Framework for Multi-Party Computation.
    ACM Conference on Computer and Communications Security (CCS), 2020
    331 cites at Google Scholar
    641% above average of year
    Last visited: Oct-2023
    Paper: DOI
  6. 6
    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, 2020
    316 cites at Google Scholar
    608% above average of year
    Last visited: Oct-2023
    Paper: DOI
  7. 7
    Kit Murdock, David F. Oswald, Flavio D. Garcia, Jo Van Bulck, Daniel Gruss, and Frank Piessens:
    Plundervolt: Software-based Fault Injection Attacks against Intel SGX.
    IEEE Symposium on Security and Privacy, 2020
    309 cites at Google Scholar
    592% above average of year
    Last visited: Oct-2023
    Paper: DOI
  8. 8
    James Henry Bell, Kallista A. Bonawitz, Adrià Gascón, Tancrède Lepoint, and Mariana Raykova:
    Secure Single-Server Aggregation with (Poly)Logarithmic Overhead.
    ACM Conference on Computer and Communications Security (CCS), 2020
    272 cites at Google Scholar
    509% above average of year
    Last visited: Oct-2023
    Paper: DOI
  9. 9
    Matthew Jagielski, Nicholas Carlini, David Berthelot, Alex Kurakin, and Nicolas Papernot:
    High Accuracy and High Fidelity Extraction of Neural Networks.
    USENIX Security Symposium, 2020
    268 cites at Google Scholar
    500% above average of year
    Last visited: Oct-2023
    Paper: DOI
  10. 10
    Jo Van Bulck, Daniel Moghimi, Michael Schwarz, Moritz Lipp, Marina Minkin, Daniel Genkin, Yuval Yarom, Berk Sunar, Daniel Gruss, and Frank Piessens:
    LVI: Hijacking Transient Execution through Microarchitectural Load Value Injection.
    IEEE Symposium on Security and Privacy, 2020
    254 cites at Google Scholar
    469% above average of year
    Last visited: Oct-2023
    Paper: DOI