代表性论文：

[1] Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma, Anti-Backdoor Learning: Training Clean Models on Poisoned Data, NeurIPS 2021. （NeurIPS是人工智能顶会，H5-index 278，最新谷歌学术期刊和会议影响力榜单排名第12, CCF A类）

[2] Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma, Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks, ICLR 2021. （ICLR是人工智能顶会，H5-index 286，最新谷歌学术期刊和会议影响力榜单排名第10，在最新版《清华大学计算机学科推荐学术会议和期刊列表》中评定为A类会议。）

[3] Yige Li, Xixiang Lyu, et al., Reconstructive Neuron Pruning for Backdoor Defense，ICML 2023.（ICML是人工智能顶会，H5-index 238，最新谷歌学术期刊和会议影响力榜单排名第19, CCF A类）.

[4] RenPeng Zou , Xixiang Lyu, Jing Ma, Bowen Zhang , Danfang Wu, BCMIX: A Blockchain-based Dynamic Self-reconfigurable Mixnet，IEEE/ACM Transactions on Networking, 2023.31(5):2222 – 2235. （中科院升级版JCR一区，Top期刊）

[5] Xixiang Lv, Yi Mu, Hui Li, Non-interactive Key Establishment for Bundle Security Protocol of Space DTNs, IEEE Transactions on Information Forensics and Security, 2014, 9(1): 5-13. （CCF A类，中科院升级版JCR一区，Top期刊）

[6] Xixiang Lv, Yi Mu, Hui Li, Loss-tolerant Bundle Fragment Authentication for Space-based DTNs. IEEE Transactions on Dependable & Secure Computing, 2015, 12(6):1-1. （CCF A类，中科院升级版JCR一区，Top期刊）