Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems
Authors: Fatemeh Nazary, Yashar Deldjoo, Tommaso di Noia | Published: 2025-01-20
ポイズニング攻撃
PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
Authors: Wei Zou, Runpeng Geng, Binghui Wang, Jinyuan Jia | Published: 2024-02-12 | Updated: 2024-08-13
Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning
Authors: Yu Jiang, Jiyuan Shen, Ziyao Liu, Chee Wei Tan, Kwok-Yan Lam | Published: 2024-01-16 | Updated: 2024-01-19
Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning Attacks
Authors: Shuli Jiang, Swanand Ravindra Kadhe, Yi Zhou, Ling Cai, Nathalie Baracaldo | Published: 2023-12-07
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
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