The Philosopher’s Stone: Trojaning Plugins of Large Language Models
Authors: Tian Dong, Minhui Xue, Guoxing Chen, Rayne Holland, Yan Meng, Shaofeng Li, Zhen Liu, Haojin Zhu | Published: 2023-12-01 | Updated: 2024-09-11
ポイズニング攻撃
Exploring the Robustness of Decentralized Training for Large Language Models
Authors: Lin Lu, Chenxi Dai, Wangcheng Tao, Binhang Yuan, Yanan Sun, Pan Zhou | Published: 2023-12-01
Understanding Variation in Subpopulation Susceptibility to Poisoning Attacks
Authors: Evan Rose, Fnu Suya, David Evans | Published: 2023-11-20
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
Authors: Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan | Published: 2023-08-08 | Updated: 2024-04-15
Towards Sybil Resilience in Decentralized Learning
Authors: Thomas Werthenbach, Johan Pouwelse | Published: 2023-06-26
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks
Authors: Yiwei Lu, Gautam Kamath, Yaoliang Yu | Published: 2023-03-07 | Updated: 2023-06-06
Certified Robust Neural Networks: Generalization and Corruption Resistance
Authors: Amine Bennouna, Ryan Lucas, Bart Van Parys | Published: 2023-03-03 | Updated: 2023-05-18
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Authors: Baoyuan Wu, Zihao Zhu, Li Liu, Qingshan Liu, Zhaofeng He, Siwei Lyu | Published: 2023-02-19 | Updated: 2024-01-04
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines
Authors: Eugene Bagdasaryan, Vitaly Shmatikov | Published: 2023-02-09 | Updated: 2023-12-19
Temporal Robustness against Data Poisoning
Authors: Wenxiao Wang, Soheil Feizi | Published: 2023-02-07 | Updated: 2023-12-06