Cryptographic Backdoor for Neural Networks: Boon and Bane
Authors: Anh Tu Ngo, Anupam Chattopadhyay, Subhamoy Maitra | Published: 2025-09-25
Trigger Detection
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
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
Chain-of-Scrutiny: Detecting Backdoor Attacks for Large Language Models
Authors: Xi Li, Ruofan Mao, Yusen Zhang, Renze Lou, Chen Wu, Jiaqi Wang | Published: 2024-06-10 | Updated: 2025-10-30
LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors
Authors: Chengkun Wei, Wenlong Meng, Zhikun Zhang, Min Chen, Minghu Zhao, Wenjing Fang, Lei Wang, Zihui Zhang, Wenzhi Chen | Published: 2023-08-26 | Updated: 2023-10-14
WW-FL: Secure and Private Large-Scale Federated Learning
Authors: Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle, Christian Weinert, Hossein Yalame | Published: 2023-02-20 | Updated: 2025-10-14