A Linear Approach to Data Poisoning
Authors: Diego Granziol, Donald Flynn | Published: 2025-05-21
Poisoning
One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems
Authors: Zhiyuan Chang, Mingyang Li, Xiaojun Jia, Junjie Wang, Yuekai Huang, Ziyou Jiang, Yang Liu, Qing Wang | Published: 2025-05-15 | Updated: 2025-05-20
Toward Malicious Clients Detection in Federated Learning
Authors: Zhihao Dou, Jiaqi Wang, Wei Sun, Zhuqing Liu, Minghong Fang | Published: 2025-05-14
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks
Authors: Leonid Legashev, Artur Zhigalov, Denis Parfenov | Published: 2025-05-01
Data Encryption Battlefield: A Deep Dive into the Dynamic Confrontations in Ransomware Attacks
Authors: Arash Mahboubi, Hamed Aboutorab, Seyit Camtepe, Hang Thanh Bui, Khanh Luong, Keyvan Ansari, Shenlu Wang, Bazara Barry | Published: 2025-04-29
Optimizing ML Training with Metagradient Descent
Authors: Logan Engstrom, Andrew Ilyas, Benjamin Chen, Axel Feldmann, William Moses, Aleksander Madry | Published: 2025-03-17
Provably effective detection of effective data poisoning attacks
Authors: Jonathan Gallagher, Yasaman Esfandiari, Callen MacPhee, Michael Warren | Published: 2025-01-21
VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning
Authors: Ahmed Ayoub Bellachia, Mouhamed Amine Bouchiha, Yacine Ghamri-Doudane, Mourad Rabah | Published: 2025-01-08
Mingling with the Good to Backdoor Federated Learning
Authors: Nuno Neves | Published: 2025-01-03
A Backdoor Attack Scheme with Invisible Triggers Based on Model Architecture Modification
Authors: Yuan Ma, Xu Ma, Jiankang Wei, Jinmeng Tang, Xiaoyu Zhang, Yilun Lyu, Kehao Chen, Jingtong Huang | Published: 2024-12-22 | Updated: 2025-01-06