Adversarial Demonstration Attacks on Large Language Models
Authors: Jiongxiao Wang, Zichen Liu, Keun Hee Park, Zhuojun Jiang, Zhaoheng Zheng, Zhuofeng Wu, Muhao Chen, Chaowei Xiao | Published: 2023-05-24 | Updated: 2023-10-14
敵対的攻撃
Poisoning Web-Scale Training Datasets is Practical
Authors: Nicholas Carlini, Matthew Jagielski, Christopher A. Choquette-Choo, Daniel Paleka, Will Pearce, Hyrum Anderson, Andreas Terzis, Kurt Thomas, Florian Tramèr | Published: 2023-02-20 | Updated: 2024-05-06
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization
Authors: Ziquan Liu, Antoni B. Chan | Published: 2022-10-11
Characterizing Internal Evasion Attacks in Federated Learning
Authors: Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong | Published: 2022-09-17 | Updated: 2023-10-21
Membership Inference Attacks by Exploiting Loss Trajectory
Authors: Yiyong Liu, Zhengyu Zhao, Michael Backes, Yang Zhang | Published: 2022-08-31
A Black-Box Attack on Optical Character Recognition Systems
Authors: Samet Bayram, Kenneth Barner | Published: 2022-08-30
Architectural Backdoors in Neural Networks
Authors: Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert Mullins, Nicolas Papernot | Published: 2022-06-15
Statically Detecting Adversarial Malware through Randomised Chaining
Authors: Matthew Crawford, Wei Wang, Ruoxi Sun, Minhui Xue | Published: 2021-11-28 | Updated: 2021-12-04
Dissecting Malware in the Wild
Authors: Hamish Spencer, Wei Wang, Ruoxi Sun, Minhui Xue | Published: 2021-11-28 | Updated: 2021-12-04
The Geometry of Adversarial Training in Binary Classification
Authors: Leon Bungert, Nicolás García Trillos, Ryan Murray | Published: 2021-11-26 | Updated: 2022-08-01