Combining Couvreur's Algorithm with Bitstate-Hashing for Emptiness Check. - Yige Li; Kanglin Xie; Tao Hao (IMSCCS (2), 2006)

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)

Deep learning-based automated segmentation of eight brain anatomical regions using head CT images in PET/CT. - Tong Wang; Haiqun Xing; Yige Li; Sicong Wang; Ling Liu; Fang Li; Hongli Jing (BMC Medical Imaging, 2022)

A Fully Distributed Robust Secure Consensus Protocol for Linear Multi-Agent Systems. - Jingyao Wang; Yige Li; Zhisheng Duan; Jianping Zeng 004 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Tectonic Significances of the Geomorphic Evolution in the Southern Alashan Block to the Outward Expansion of the Northeastern Tibetan Plateau. - Tingting Ji; Wenjun Zheng; Jingjun Yang; Dongli Zhang; Shumin Liang; Yige Li; Ting Liu; Haoyu Zhou; Changhuan Feng (Remote. Sens., 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)

Lightweight Video Frame Interpolation Based on Bidirectional Attention Module. - Yige Li; Han Yang (ISCC, 2023)

Feature Pyramid Networks and Long Short-Term Memory for EEG Feature Map-Based Emotion Recognition. - Xiaodan Zhang 009; Yige Li; Jinxiang Du; Rui Zhao; Kemeng Xu; Lu Zhang; Yichong She (Sensors, 2023)

Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing. - Wei Zhao; Zhe Li; Yige Li; Ye Zhang; Jun Sun 001 (EMNLP (Findings), 2024)

End-to-End Anti-Backdoor Learning on Images and Time Series. - Yujing Jiang; Xingjun Ma; Sarah Monazam Erfani; Yige Li; James Bailey 001 (CoRR, 2024)

Multi-Trigger Backdoor Attacks: More Triggers, More Threats. - Yige Li; Xingjun Ma; Jiabo He; Hanxun Huang; Yu-Gang Jiang 001 (CoRR, 2024)

BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks on Large Language Models. - Yige Li; Hanxun Huang; Yunhan Zhao; Xingjun Ma; Jun Sun 001 (CoRR, 2024)

Do Influence Functions Work on Large Language Models? - Zhe Li; Wei Zhao; Yige Li; Jun Sun 001 (CoRR, 2024)

Adversarial Suffixes May Be Features Too! - Wei Zhao; Zhe Li; Yige Li; Jun Sun 001 (CoRR, 2024)

AnyAttack: Towards Large-scale Self-supervised Generation of Targeted Adversarial Examples for Vision-Language Models. - Jiaming Zhang 006; Junhong Ye; Xingjun Ma; Yige Li; Yunfan Yang; Jitao Sang; Dit-Yan Yeung (CoRR, 2024)

Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models. - Yige Li; Hanxun Huang; Jiaming Zhang 006; Xingjun Ma; Yu-Gang Jiang 001 (CoRR, 2024)

CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization. - Nay Myat Min; Long H. Pham; Yige Li; Jun Sun 001 (CoRR, 2024)

Analysis and Research on Intelligent Logistics Data under Internet of Things and Blockchain. - Yige Li (Appl. Artif. Intell., 2024)

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

Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models. - Jiaming Zhang 006; Junhong Ye; Xingjun Ma; Yige Li; Yunfan Yang; Yunhao Chen; Jitao Sang; Dit-Yan Yeung (CVPR, 2025)

Detecting Backdoor Samples in Contrastive Language Image Pretraining. - Hanxun Huang; Sarah Monazam Erfani; Yige Li; Xingjun Ma; James Bailey 001 (ICLR, 2025)

BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks. - Yunhan Zhao; Xiang Zheng; Lin Luo; Yige Li; Xingjun Ma; Yu-Gang Jiang 001 (ICLR, 2025)

Quantifying Administrative and Functional Border Effects on Commuting and Non-Commuting Flows: A Case Study of the Shanghai-Suzhou-Jiaxing Area. - Yige Li; Ying Jiang; Jin Duan (ISPRS Int. J. Geo Inf., 2025)

Accurate and interpretable PM2.5 prediction based on GC-AE-RegLSTM. - Yige Li; Jun Yang; Dunwang Qin (J. Comput. Sci., 2025)

MF-CLIP: Leveraging CLIP as Surrogate Models for No-Box Adversarial Attacks. - Jiaming Zhang 006; Lingyu Qiu; Qi Yi; Yige Li; Jitao Sang; Changsheng Xu; Dit-Yan Yeung (IEEE Trans. Inf. Forensics Secur., 2025)

Safety at Scale: A Comprehensive Survey of Large Model Safety. - Xingjun Ma; Yifeng Gao; Yixu Wang; Ruofan Wang; Xin Wang; Ye Sun; Yifan Ding; Hengyuan Xu; Yunhao Chen; Yunhan Zhao; Hanxun Huang; Yige Li; et al. (CoRR, 2025)

Zero-Shot Defense Against Toxic Images via Inherent Multimodal Alignment in LVLMs. - Wei Zhao; Zhe Li; Yige Li; Jun Sun 001 (CoRR, 2025)

A Practical Memory Injection Attack against LLM Agents. - Shen Dong; Shaochen Xu; Pengfei He; Yige Li; Jiliang Tang; Tianming Liu 001; Hui Liu 031; Zhen Xiang (CoRR, 2025)

Propaganda via AI? A Study on Semantic Backdoors in Large Language Models. - Nay Myat Min; Long H. Pham; Yige Li; Jun Sun 001 (CoRR, 2025)

X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP. - Hanxun Huang; Sarah M. Erfani; Yige Li; Xingjun Ma; James Bailey 001 (CoRR, 2025)

Adaptive Content Restriction for Large Language Models via Suffix Optimization. - Yige Li; Peihai Jiang; Jun Sun 001; Peng Shu; Tianming Liu 001; Zhen Xiang (CoRR, 2025)