Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks. - Yige Li; Xixiang Lyu; Nodens Koren; Lingjuan Lyu; Bo Li 026; Xingjun Ma (ICLR, 2021)

Anti-Backdoor Learning: Training Clean Models on Poisoned Data. - Yige Li; Xixiang Lyu; Nodens Koren; Lingjuan Lyu; Bo Li 026; Xingjun Ma (NeurIPS, 2021)

A Novel Variable K-Pseudonym Scheme Applied to 5G Anonymous Access Authentication. - Dong Ma; Xixiang Lyu; Renpeng Zou (CoRR, 2021)

Natural Backdoor Attacks on Speech Recognition Models. - Jinwen Xin; Xixiang Lyu; Jing Ma (ML4CS (1), 2022)

Privacy-preserving federated learning based on multi-key homomorphic encryption. - Jing Ma; Si-Ahmed Naas; Stephan Sigg; Xixiang Lyu (Int. J. Intell. Syst., 2022)

FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT. - Jianhua Li 002; Lingjuan Lyu; Ximeng Liu; Xuyun Zhang; Xixiang Lyu (IEEE Trans. Ind. Informatics, 2022)

Reconstructive Neuron Pruning for Backdoor Defense. - Yige Li; Xixiang Lyu; Xingjun Ma; Nodens Koren; Lingjuan Lyu; Bo Li 026; Yu-Gang Jiang 001 (ICML, 2023)

BCMIX: A Blockchain-Based Dynamic Self-Reconfigurable Mixnet. - Renpeng Zou; Xixiang Lyu; Jing Ma; Bowen Zhang; Danfang Wu (IEEE/ACM Trans. Netw., 2023)

Learning from Distinction: Mitigating Backdoors Using a Low-Capacity Model. - Haosen Sun; Yiming Li; Xixiang Lyu; Jing Ma (ACM Multimedia, 2024)

Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models. - Peihai Jiang; Xixiang Lyu; Yige Li; Jing Ma (AAAI, 2025)