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Changjiang Li
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2020 – today
- 2024
- [j8]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: 104441 (2024) - [j7]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): 2393-2404 (2024) - [c14]Jiacheng Liang, Ren Pang, Changjiang Li, Ting Wang:
Model Extraction Attacks Revisited. AsiaCCS 2024 - [c13]Jianhao Fu, Xiang Ling, Yaguan Qian, Changjiang Li, Tianyue Luo, Jingzheng Wu:
Towards Query-Efficient Decision-Based Adversarial Attacks Through Frequency Domain. ICME 2024: 1-6 - [c12]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: 459-471 - [c11]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. NDSS 2024 - [c10]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 - [i15]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 abs/2403.00448 (2024) - [i14]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 abs/2405.12786 (2024) - [i13]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 abs/2406.09669 (2024) - 2023
- [j6]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): 2350178:1-2350178:16 (2023) - [j5]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): 2753-2762 (2023) - [c9]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: 4344-4355 - [c8]Ren Pang, Changjiang Li, Zhaohan Xi, Shouling Ji, Ting Wang:
The Dark Side of AutoML: Towards Architectural Backdoor Search. ICLR 2023 - [c7]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 - [c6]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 - [c5]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: 3259-3276 - [i12]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 abs/2305.02383 (2023) - [i11]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 abs/2309.13256 (2023) - [i10]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 abs/2310.19248 (2023) - [i9]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 abs/2311.17400 (2023) - [i8]Jiacheng Liang, Ren Pang, Changjiang Li, Ting Wang:
Model Extraction Attacks Revisited. CoRR abs/2312.05386 (2023) - [i7]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 abs/2312.09057 (2023) - 2022
- [j4]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): 3987-4001 (2022) - [c4]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 - [c3]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: 2673-2690 - [i6]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 abs/2202.10673 (2022) - [i5]Zhaohan Xi, Ren Pang, Changjiang Li, Tianyu Du, Shouling Ji, Fenglong Ma, Ting Wang:
Reasoning over Multi-view Knowledge Graphs. CoRR abs/2209.13702 (2022) - [i4]Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang:
Demystifying Self-supervised Trojan Attacks. CoRR abs/2210.07346 (2022) - [i3]Ren Pang, Changjiang Li, Zhaohan Xi, Shouling Ji, Ting Wang:
The Dark Side of AutoML: Towards Architectural Backdoor Search. CoRR abs/2210.12179 (2022) - [i2]Pengyu Qiu, Xuhong Zhang, Shouling Ji, Changjiang Li, Yuwen Pu, Xing Yang, Ting Wang:
Hijack Vertical Federated Learning Models with Adversarial Embedding. CoRR abs/2212.00322 (2022) - 2021
- [i1]Zhaohan Xi, Ren Pang, Changjiang Li, Shouling Ji, Xiapu Luo, Xusheng Xiao, Ting Wang:
Towards Robust Reasoning over Knowledge Graphs. CoRR abs/2110.14693 (2021) - 2020
- [j3]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: 556-568 (2020) - [j2]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): 2439-2448 (2020)
2010 – 2019
- 2019
- [c2]Changjiang Li, Haiqin Weng, Shouling Ji, Jianfeng Dong, Qinming He:
DeT: Defending Against Adversarial Examples via Decreasing Transferability. CSS (1) 2019: 307-322 - [c1]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: 1-6 - 2018
- [j1]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): 1067-1077 (2018)
Coauthor Index
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last updated on 2024-10-08 20:31 CEST by the dblp team
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