A High-Precision Loose Strands Diagnosis Approach for Isoelectric Line in High-Speed Railway. - Zhigang Liu 001; Liyou Wang; Changjiang Li; Zhiwei Han (IEEE Trans. Ind. Informatics, 2018)

DeT: Defending Against Adversarial Examples via Decreasing Transferability. - Changjiang Li; Haiqin Weng; Shouling Ji; Jianfeng Dong; Qinming He (CSS (1), 2019)

A GAN-Based Anomaly Detection Method for Isoelectric Line in High-Speed Railway. - Yang Lyu; Zhiwei Han; Junping Zhong; Changjiang Li; Zhigang Liu 001 (I2MTC, 2019)

Deep learning-based visual ensemble method for high-speed railway catenary clevis fracture detection. - Ye Han; Zhigang Liu 001; Yang Lyu; Kai Liu; Changjiang Li; Wenxuan Zhang (Neurocomputing, 2020)

A Generic Anomaly Detection of Catenary Support Components Based on Generative Adversarial Networks. - Yang Lyu; Zhiwei Han; Junping Zhong; Changjiang Li; Zhigang Liu 001 (IEEE Trans. Instrum. Meas., 2020)

Towards Robust Reasoning over Knowledge Graphs. - Zhaohan Xi; Ren Pang; Changjiang Li; Shouling Ji; Xiapu Luo; Xusheng Xiao; Ting Wang 006 (CoRR, 2021)

Residual learning network for accurate and stable reconstruction in Cerenkov luminescence tomography. - Xiaoning Zhang; Changjiang Li; Zeyu Zhang; Zhenhua Hu; Jie Tian 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era. - Changjiang Li; Li Wang 120; Shouling Ji; Xuhong Zhang 002; Zhaohan Xi; Shanqing Guo; Ting Wang 006 (USENIX Security Symposium, 2022)

Reasoning over Multi-view Knowledge Graphs. - Zhaohan Xi; Ren Pang; Changjiang Li; Tianyu Du; Shouling Ji; Fenglong Ma; Ting Wang 006 (CoRR, 2022)

Demystifying Self-supervised Trojan Attacks. - Changjiang Li; Ren Pang; Zhaohan Xi; Tianyu Du; Shouling Ji; Yuan Yao 001; Ting Wang 006 (CoRR, 2022)

Hijack Vertical Federated Learning Models with Adversarial Embedding. - Pengyu Qiu; Xuhong Zhang 002; Shouling Ji; Changjiang Li; Yuwen Pu; Xing Yang 004; Ting Wang 006 (CoRR, 2022)

Towards Certifying the Asymmetric Robustness for Neural Networks: Quantification and Applications. - Changjiang Li; Shouling Ji; Haiqin Weng; Bo Li 026; Jie Shi; Raheem Beyah; Shanqing Guo; Zonghui Wang; Ting Wang 006 (IEEE Trans. Dependable Secur. Comput., 2022)

An Embarrassingly Simple Backdoor Attack on Self-supervised Learning. - Changjiang Li; Ren Pang; Zhaohan Xi; Tianyu Du; Shouling Ji; Yuan Yao 001; Ting Wang 006 (ICCV, 2023)

The Dark Side of AutoML: Towards Architectural Backdoor Search. - Ren Pang; Changjiang Li; Zhaohan Xi; Shouling Ji; Ting Wang 006 (ICLR, 2023)

IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. - Bochuan Cao; Changjiang Li; Ting Wang 006; Jinyuan Jia 001; Bo Li 026; Jinghui Chen (NeurIPS, 2023)

Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks. - Zhaohan Xi; Tianyu Du; Changjiang Li; Ren Pang; Shouling Ji; Jinghui Chen; Fenglong Ma; Ting Wang 006 (NeurIPS, 2023)

On the Security Risks of Knowledge Graph Reasoning. - Zhaohan Xi; Tianyu Du; Changjiang Li; Ren Pang; Shouling Ji; Xiapu Luo; Xusheng Xiao; Fenglong Ma; Ting Wang 006 (USENIX Security Symposium, 2023)

A multi-level analysis method for evaluating the risk of roof caving and its application. - Jun Yang; Linke Qiao; Changjiang Li; Xing Wu (J. Intell. Fuzzy Syst., 2023)

An Efficient Channel Attention-Enhanced Lightweight Neural Network Model for Metal Surface Defect Detection. - Xikun Xie; Changjiang Li; Yang Liu; Junjie Song; Jonghyun Ahn; Zhong Zhang (J. Circuits Syst. Comput., 2023)

Model Extraction Attacks Revisited. - Jiacheng Liang; Ren Pang; Changjiang Li; Ting Wang 006 (AsiaCCS, 2024)

Towards Query-Efficient Decision-Based Adversarial Attacks Through Frequency Domain. - Jianhao Fu; Xiang Ling 001; Yaguan Qian; Changjiang Li; Tianyue Luo; Jingzheng Wu (ICME, 2024)

When Large Language Models Confront Repository-Level Automatic Program Repair: How Well They Done? - Yuxiao Chen 009; Jingzheng Wu; Xiang Ling 001; Changjiang Li; Zhiqing Rui; Tianyue Luo; Yanjun Wu (ICSE Companion, 2024)

Improving the Robustness of Transformer-based Large Language Models with Dynamic Attention. - Lujia Shen; Yuwen Pu; Shouling Ji; Changjiang Li; Xuhong Zhang 002; Chunpeng Ge 001; Ting Wang 006 (NDSS, 2024)

On the Difficulty of Defending Contrastive Learning against Backdoor Attacks. - Changjiang Li; Ren Pang; Bochuan Cao; Zhaohan Xi; Jinghui Chen; Shouling Ji; Ting Wang 006 (USENIX Security Symposium, 2024)

Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective. - Jiahao Chen; Zhiqiang Shen; Yuwen Pu; Chunyi Zhou; Changjiang Li; Ting Wang 006; Shouling Ji (CoRR, 2024)

Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models. - Changjiang Li; Ren Pang; Bochuan Cao; Jinghui Chen; Fenglong Ma; Shouling Ji; Ting Wang 006 (CoRR, 2024)

CopyrightMeter: Revisiting Copyright Protection in Text-to-image Models. - Naen Xu; Changjiang Li; Tianyu Du; Minxi Li; Wenjie Luo; Jiacheng Liang; Yuyuan Li; Xuhong Zhang 002; Meng Han; Jianwei Yin; Ting Wang 006 (CoRR, 2024)

High-quality matched transfer generation adversarial network for synthetic cross-material surface defect images. - Xikun Xie; Changjiang Li; Rui Qing; Chuande Zhou; Zhong Zhang (Digit. Signal Process., 2024)

AMPpred-MFA: An Interpretable Antimicrobial Peptide Predictor with a Stacking Architecture, Multiple Features, and Multihead Attention. - Changjiang Li; Quan Zou 001; Cangzhi Jia; Jia Zheng (J. Chem. Inf. Model., 2024)

AIA: Autoregression-Based Injection Attacks Against Text2SQL Models. - Deyin Li; Xiang Ling 001; Changjiang Li; Xiang Chen 017; Chunming Wu 001 (AAAI, 2025)

RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models. - Tanqiu Jiang; Changjiang Li; Fenglong Ma; Ting Wang 006 (ICLR, 2025)

RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction. - Tanqiu Jiang; Zian Wang; Jiacheng Liang; Changjiang Li; Yuhui Wang 003; Ting Wang 006 (ICLR, 2025)

Invisible-Face: Rethinking Facial Attribute Privacy in Social Media Photo Sharing. - Yong Yang; Changjiang Li; Yi Jiang; Jinbao Li; Xuhong Zhang 002; Zonghui Wang; Shouling Ji; Wenzhi Chen (IEEE Trans. Inf. Forensics Secur., 2025)

GraphRAG under Fire. - Jiacheng Liang; Yuhui Wang 003; Changjiang Li; Rongyi Zhu; Tanqiu Jiang; Neil Gong 001; Ting Wang 006 (CoRR, 2025)

On the Security Risks of ML-based Malware Detection Systems: A Survey. - Ping He; Yuhao Mao; Changjiang Li; Lorenzo Cavallaro; Ting Wang 006; Shouling Ji (CoRR, 2025)

VModA: An Effective Framework for Adaptive NSFW Image Moderation. - Han Bao; Qinying Wang; Zhi Chen; Qingming Li; Xuhong Zhang 002; Changjiang Li; Zonghui Wang; Shouling Ji; Wenzhi Chen (CoRR, 2025)

Your Agent Can Defend Itself against Backdoor Attacks. - Changjiang Li; Jiacheng Liang; Bochuan Cao; Jinghui Chen; Ting Wang 006 (CoRR, 2025)

VideoEraser: Concept Erasure in Text-to-Video Diffusion Models. - Naen Xu; Jinghuai Zhang; Changjiang Li; Zhi Chen; Chunyi Zhou; Qingming Li; Tianyu Du; Shouling Ji (CoRR, 2025)