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Changjiang Li
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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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) - [c12]Jiacheng Liang
, Ren Pang
, Changjiang Li
, Ting Wang
:
Model Extraction Attacks Revisited. AsiaCCS 2024 - [c11]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 - [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 2024-08-08 20:12 CEST by the dblp team
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