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
Trigger Detection
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
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
Authors: Fanchao Qi, Yangyi Chen, Mukai Li, Yuan Yao, Zhiyuan Liu, Maosong Sun | Published: 2020-11-20 | Updated: 2021-11-03
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks
Authors: Aditya Golatkar, Alessandro Achille, Stefano Soatto | Published: 2019-11-12 | Updated: 2020-03-31
Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
Authors: Bao Gia Doan, Ehsan Abbasnejad, Damith C. Ranasinghe | Published: 2019-08-09 | Updated: 2020-09-28