Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts
Authors: Li Bai, Qingqing Ye, Xinwei Zhang, Sen Zhang, Zi Liang, Jianliang Xu, Haibo Hu | Published: 2025-10-15
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Fairness-Constrained Optimization Attack in Federated Learning
Authors: Harsh Kasyap, Minghong Fang, Zhuqing Liu, Carsten Maple, Somanath Tripathy | Published: 2025-10-14
Cryptographic Backdoor for Neural Networks: Boon and Bane
Authors: Anh Tu Ngo, Anupam Chattopadhyay, Subhamoy Maitra | Published: 2025-09-25
EIM-TRNG: Obfuscating Deep Neural Network Weights with Encoding-in-Memory True Random Number Generator via RowHammer
Authors: Ranyang Zhou, Abeer Matar A. Almalky, Gamana Aragonda, Sabbir Ahmed, Filip Roth Trønnes-Christensen, Adnan Siraj Rakin, Shaahin Angizi | Published: 2025-07-03
ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks
Authors: Zhiyao Ren, Siyuan Liang, Aishan Liu, Dacheng Tao | Published: 2025-07-02
SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning
Authors: Chengcheng Zhu, Ye Li, Bosen Rao, Jiale Zhang, Yunlong Mao, Sheng Zhong | Published: 2025-06-26
A Review of Various Datasets for Machine Learning Algorithm-Based Intrusion Detection System: Advances and Challenges
Authors: Sudhanshu Sekhar Tripathy, Bichitrananda Behera | Published: 2025-06-03
Toward Malicious Clients Detection in Federated Learning
Authors: Zhihao Dou, Jiaqi Wang, Wei Sun, Zhuqing Liu, Minghong Fang | Published: 2025-05-14
Bayesian Robust Aggregation for Federated Learning
Authors: Aleksandr Karakulev, Usama Zafar, Salman Toor, Prashant Singh | Published: 2025-05-05
BackdoorDM: A Comprehensive Benchmark for Backdoor Learning on Diffusion Model
Authors: Weilin Lin, Nanjun Zhou, Yanyun Wang, Jianze Li, Hui Xiong, Li Liu | Published: 2025-02-17 | Updated: 2025-07-21