Changjiang Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Anomaly Detection

Diffusion Model

Top Venues

USENIX Security Symposium

Publications

Jiahao Chen, Zhiqiang Shen, Yuwen Pu, Chunyi Zhou, Changjiang Li, Ting Wang, Shouling Ji
Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective. CoRR (2024)
Xikun Xie, Changjiang Li, Rui Qing, Chuande Zhou, Zhong Zhang
High-quality matched transfer generation adversarial network for synthetic cross-material surface defect images. Digit. Signal Process. 148 (2024)
Changjiang Li, Ren Pang, Bochuan Cao, Zhaohan Xi, Jinghui Chen, Shouling Ji, Ting Wang
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks. USENIX Security Symposium (2024)
Jiacheng Liang, Ren Pang, Changjiang Li, Ting Wang
Model Extraction Attacks Revisited. AsiaCCS (2024)
Yuxiao Chen, Jingzheng Wu, Xiang Ling, Changjiang Li, Zhiqing Rui, Tianyue Luo, Yanjun Wu
When Large Language Models Confront Repository-Level Automatic Program Repair: How Well They Done? ICSE Companion (2024)
Changjiang Li, Quan Zou, Cangzhi Jia, Jia Zheng
AMPpred-MFA: An Interpretable Antimicrobial Peptide Predictor with a Stacking Architecture, Multiple Features, and Multihead Attention. J. Chem. Inf. Model. 64 (7) (2024)
Yuxiao Chen, Jingzheng Wu, Xiang Ling, Changjiang Li, Zhiqing Rui, Tianyue Luo, Yanjun Wu
When Large Language Models Confront Repository-Level Automatic Program Repair: How Well They Done? CoRR (2024)
Changjiang Li, Ren Pang, Bochuan Cao, Jinghui Chen, Fenglong Ma, Shouling Ji, Ting Wang
Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models. CoRR (2024)
Jiacheng Liang, Ren Pang, Changjiang Li, Ting Wang
Model Extraction Attacks Revisited. CoRR (2023)
Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks. NeurIPS (2023)
Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks. CoRR (2023)
Jun Yang, Linke Qiao, Changjiang Li, Xing Wu
A multi-level analysis method for evaluating the risk of roof caving and its application. J. Intell. Fuzzy Syst. 45 (2) (2023)
Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. NeurIPS (2023)
Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang
An Embarrassingly Simple Backdoor Attack on Self-supervised Learning. ICCV (2023)
Lujia Shen, Yuwen Pu, Shouling Ji, Changjiang Li, Xuhong Zhang, Chunpeng Ge, Ting Wang
Improving the Robustness of Transformer-based Large Language Models with Dynamic Attention. CoRR (2023)
Ren Pang, Changjiang Li, Zhaohan Xi, Shouling Ji, Ting Wang
The Dark Side of AutoML: Towards Architectural Backdoor Search. ICLR (2023)
Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. CoRR (2023)
Changjiang Li, Ren Pang, Bochuan Cao, Zhaohan Xi, Jinghui Chen, Shouling Ji, Ting Wang
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks. CoRR (2023)
Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Xiapu Luo, Xusheng Xiao, Fenglong Ma, Ting Wang
On the Security Risks of Knowledge Graph Reasoning. CoRR (2023)
Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Xiapu Luo, Xusheng Xiao, Fenglong Ma, Ting Wang
On the Security Risks of Knowledge Graph Reasoning. USENIX Security Symposium (2023)
Xikun Xie, Changjiang Li, Yang Liu, Junjie Song, Jonghyun Ahn, Zhong Zhang
An Efficient Channel Attention-Enhanced Lightweight Neural Network Model for Metal Surface Defect Detection. J. Circuits Syst. Comput. 32 (10) (2023)
Changjiang Li, Li Wang, Shouling Ji, Xuhong Zhang, Zhaohan Xi, Shanqing Guo, Ting Wang
Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era. CoRR (2022)
Pengyu Qiu, Xuhong Zhang, Shouling Ji, Changjiang Li, Yuwen Pu, Xing Yang, Ting Wang
Hijack Vertical Federated Learning Models with Adversarial Embedding. CoRR (2022)
Changjiang Li, Li Wang, Shouling Ji, Xuhong Zhang, Zhaohan Xi, Shanqing Guo, Ting Wang
Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era. USENIX Security Symposium (2022)
Changjiang Li, Shouling Ji, Haiqin Weng, Bo Li, Jie Shi, Raheem Beyah, Shanqing Guo, Zonghui Wang, Ting Wang
Towards Certifying the Asymmetric Robustness for Neural Networks: Quantification and Applications. IEEE Trans. Dependable Secur. Comput. 19 (6) (2022)
Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang
Demystifying Self-supervised Trojan Attacks. CoRR (2022)
Xiaoning Zhang, Changjiang Li, Zeyu Zhang, Zhenhua Hu, Jie Tian
Residual learning network for accurate and stable reconstruction in Cerenkov luminescence tomography. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2022)
Zhaohan Xi, Ren Pang, Changjiang Li, Tianyu Du, Shouling Ji, Fenglong Ma, Ting Wang
Reasoning over Multi-view Knowledge Graphs. CoRR (2022)
Ren Pang, Changjiang Li, Zhaohan Xi, Shouling Ji, Ting Wang
The Dark Side of AutoML: Towards Architectural Backdoor Search. CoRR (2022)
Zhaohan Xi, Ren Pang, Changjiang Li, Shouling Ji, Xiapu Luo, Xusheng Xiao, Ting Wang
Towards Robust Reasoning over Knowledge Graphs. CoRR (2021)
Ye Han, Zhigang Liu, Yang Lyu, Kai Liu, Changjiang Li, Wenxuan Zhang
Deep learning-based visual ensemble method for high-speed railway catenary clevis fracture detection. Neurocomputing 396 (2020)
Yang Lyu, Zhiwei Han, Junping Zhong, Changjiang Li, Zhigang Liu
A Generic Anomaly Detection of Catenary Support Components Based on Generative Adversarial Networks. IEEE Trans. Instrum. Meas. 69 (5) (2020)
Yang Lyu, Zhiwei Han, Junping Zhong, Changjiang Li, Zhigang Liu
A GAN-Based Anomaly Detection Method for Isoelectric Line in High-Speed Railway. I2MTC (2019)
Changjiang Li, Haiqin Weng, Shouling Ji, Jianfeng Dong, Qinming He
DeT: Defending Against Adversarial Examples via Decreasing Transferability. CSS (1) (2019)
Zhigang Liu, Liyou Wang, Changjiang Li, Zhiwei Han
A High-Precision Loose Strands Diagnosis Approach for Isoelectric Line in High-Speed Railway. IEEE Trans. Ind. Informatics 14 (3) (2018)