Enhancing Data Provenance and Model Transparency in Federated Learning Systems — A Database Approach
Authors: Michael Gu, Ramasoumya Naraparaju, Dongfang Zhao | Published: 2024-03-03
ポイズニング
Analysis of Privacy Leakage in Federated Large Language Models
Authors: Minh N. Vu, Truc Nguyen, Tre' R. Jeter, My T. Thai | Published: 2024-03-02
Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach
Authors: Qi Tan, Qi Li, Yi Zhao, Zhuotao Liu, Xiaobing Guo, Ke Xu | Published: 2024-03-02
Transfer Learning for Security: Challenges and Future Directions
Authors: Adrian Shuai Li, Arun Iyengar, Ashish Kundu, Elisa Bertino | Published: 2024-03-01
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors
Authors: Yiwei Lu, Matthew Y. R. Yang, Gautam Kamath, Yaoliang Yu | Published: 2024-02-20
FedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning
Authors: Enrique Mármol Campos, Aurora González Vidal, José Luis Hernández Ramos, Antonio Skarmeta | Published: 2024-02-15
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
FedMIA: An Effective Membership Inference Attack Exploiting “All for One” Principle in Federated Learning
Authors: Gongxi Zhu, Donghao Li, Hanlin Gu, Yuan Yao, Lixin Fan, Yuxing Han | Published: 2024-02-09 | Updated: 2025-03-27
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously
Authors: Yihan Wang, Yifan Zhu, Xiao-Shan Gao | Published: 2024-02-06
Game-Theoretic Unlearnable Example Generator
Authors: Shuang Liu, Yihan Wang, Xiao-Shan Gao | Published: 2024-01-31