2025:
1. Chenhao Lin, Chenyang Zhao, Shiwei Wang, Longtian Wang, Chaoshen, Zhengyu Zhao*, Revisiting Training-Inference Trigger Intensity in Backdoor Attacks. USENIX Security '25, 2025
3. Yingmao Miao, Zhanpeng Huang, Rui Han, Zibin Wang, Chenhao Lin*, Chao Shen, Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model. IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2025.
4. Zekun Sun, Zijian Liu, Shouling Ji, Chenhao Lin, Na Ruan. Pretender: Universal Active Defense against Diffusion Finetuning Attacks. USENIX Security, 2025
5. Le Yang, Ziwei Zheng, Boxun Chen, Zhengyu Zhao, Chenhao Lin, Chao Shen, Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection. IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2025.
6. Yuchen Ren, Zhengyu Zhao, Chenhao Lin, Bo Yang, Lu Zhou, Zhe Liu, Chao Shen, Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement. IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2025.
7. Yingmao Miao, Chenhao Lin*, Zhengyu Zhao, Hang Wang, Shuai Liu, Chao Shen, Xiaohong Guan, One-Shot Face Avatar Generation in a Single Forward Pass with Identity Preservation. 2025 IEEE International Conference on Acoustics, Speech and Signal Processing. ICASSP 2025
8. Chenhao Lin, Yanjie Zhu, Yingmao Miao, Zhengyu Zhao, Shuai Liu, Chao Shen*, TGDrag: Adding Semantic Control into Point-based Image Editing via Text Guidance. IEEE Conference on International Conference on Acoustics, Speech, and Signal Processing. ICASSP(Oral) 2025.
9. Bo Yang, Hengwei Zhang, Jindong Wang, Yulong Yang, Chenhao Lin, Chao Shen, and Zhengyu Zhao, Adversarial Example Soups: Improving Transferability and Stealthiness for Free. IEEE Transactions on Information Forensics and Security (TIFS), 2025
10. Zhen Sun, Tianshuo Cong, Yule Liu, Chenhao Lin, Xinlei He, Rongmao Chen, Xingshuo Han, Xinyi Huang. PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning, IEEE S&P, 2025
11. Yuchen Ren, Zhengyu Zhao*, Chenhao Lin, Bo Yang, Lu Zhou, Zhe Liu, Chao Shen, Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path. AAAI Conference on Artificial Intelligence. AAAI 2025.
2024:
1. Chenhao Lin, Xiang Ji, Yulong Yang, Qian Li, Zhengyu Zhao, Zhe Peng, Run Wang, Liming Fang, Chao Shen*, Hard Adversarial Example Mining for Improving Robust Fairness. IEEE Transactions on Information Forensics and Security (TIFS), 2024
2. Chenhao Lin, Fangbin Yi, Hang Wang, Jingyi Deng, Zhengyu Zhao, Qian Li, and Chao Shen. Exploiting Facial Relationships and Feature Aggregation for Multi-Face Forgery Detection, IEEE Transactions on Information Forensics and Security (TIFS), 2024
3. Jingyi Deng, Chenhao Lin*, Pengbin Hu, Chao Shen, Qian Wang, Qi Li, Qiming Li, Towards Benchmarking and Evaluating Deepfake Detection, IEEE Transactions on Dependable and Secure Computing (TDSC), 2024
4. Yulong Yang, Chenhao Lin*, et al, Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization. IEEE Transactions on Information Forensics and Security (TIFS), 2024
5. Yulong Yang, Haoran Fan, Chenhao Lin*, et al, Exploiting the Adversarial Example Vulnerability of Transfer Learning of Source Code, IEEE Transactions on Information Forensics and Security (TIFS), 2024
6. Zhoulin Ji, Chenhao Lin*, Hang Wang, Chao Shen, Speech-Forensics: Towards Comprehensive Synthetic Speech Dataset Establishment and Analysis, International Joint Conference on Artificial Intelligence. IJCAI 2024.
7. Qiwei Tian, Chenhao Lin*, Qian Li, Zhengyu Zhao, Chao Shen*, Collapse-Oriented Adversarial Training with Triplet Decoupling for Robust Image Retrieval, International Conference for Machine Learning. ICML 2024.
8. Junhao Zheng, Chenhao Lin*, Jiahao Sun, Zhengyu Zhao, Qian Li, Chao Shen*, Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving, IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2024.
9. Xuanqi Gao, Chao Shen, Weipeng Jiang, Chenhao Lin, et al, Fairness in Machine Learning: Definition, Testing, Debugging and Application, SCIENCE CHINA Information Sciences (SCIS), 2024
10. Xiaoyu Zhang, Chao Shen, Shiqing Ma, Juan Zhai, and Chenhao Lin. An Automated Monitoring and Repairing System for DNN Training, IEEE Transactions on Dependable and Secure Computing, 2024.
2021-23:
1. Chenhao Lin, Tianle Song, Yingmao Miao, et al. ChildShield: An Implicit and Continuous Child Identification System on Smartphones. IEEE Transactions on Dependable and Secure Computing (TDSC), 2023
2. Sicong Han, Chenhao Lin*, Chao Shen*, et al. Interpreting Adversarial Examples in Deep Learning: A Review. ACM Computing Surveys, 2023.
3. Yingmao Miao, Qiwei Tian, Chenhao Lin*, Chao Shen,et al. Learning Heuristically-selected and Neurally-guided Feature for Age Group Recognition using Unconstrained Smartphone Interaction. Proc of the International Joint Conference on Artificial Intelligence (IJCAI), 2023.
4. Xinghui Wu, Shiqi Ma, Chao Shen*, Chenhao Lin*, et al. KENKU: Towards Efficient and Stealthy Black-box Adversarial Attacks against ASR Systems. USENIX Security, 2023.
5. Chenhao Lin, Sicong Han, Jiongli Zhu, Chao Shen, et al. Sensitive region-aware black-box adversarial attacks. Information Sciences, 2023
6. Chenhao Lin, Jingyi He; Chao Shen; Qi Li; Qian Wang ; CrossBehaAuth: Cross-Scenario Behavioral Biometrics Authentication Using Keystroke Dynamics, IEEE Transactions on Dependable and Secure Computing (TDSC), 2022, 1(1): 1-1
7. Kaiding Jin, Tianwei, Zhang, Chao Shen, Yufei Chen, Min Fan, Chenhao Lin, Ting Liu. Can We Mitigate Backdoor Attack Using Adversarial Detection Methods?. IEEE Transactions on Dependable and Secure Computing (TDSC), 2022.
8. Qian Li, Chao Shen, Qingyuan Hu, Chenhao Lin, et al. Towards Gradient-based Saliency Consensus Training for Adversarial Robustness. IEEE Transactions on Dependable and Secure Computing (TDSC), 2022.
9. 蔺琛皓，沈超，邓静怡，胡鹏斌，王骞，马仕清，李琦，管晓宏. 虚假数字人脸内容生成与检测技术. 计算机学报, 2022, 45(002): 58-87.
10. 张笑宇,沈超,蔺琛皓,李前,王骞,李琦,管晓宏.面向机器学习模型安全的测试与修复.电子学报, 2022, 50(12): 2884-2918.
11. 李前#, 蔺琛皓#, 杨雨龙, 沈超, 方黎明. 云边端全场景下深度学习模型对抗攻击和防御. 计算机研究与发展, 2022, 59(10): 2109-2129.
12. Sicong Han, Chenhao Lin*, Chao Shen*, Qian Wang. Rethinking Adversarial Examples Exploiting Frequency-Based Analysis. In International Conference on Information and Communications Security (ICICS), 2021. (pp. 73-89). (Best paper award)
2020:
1. Chenhao Lin, Jiongli Zhu, Chao Shen, Pengwei Hu, Qian Wang; ELLG: Explainable Lesion Learning and Generation for Diabetic Retinopathy Detection; Proc of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI), DCM workshop; (Best Paper Award);2020
2. Chenhao Lin, Siwen Wang, Dongqi Xu, Yu Lu*, Wayne Zhang; Object Instance Mining for Weakly Supervised Object Detection; Proc, AAAI Conference on Artificial Intelligence; 2020. Codes
3. Chenhao Lin, Pengwei Hu, Hui Su, Shaochun Li, Jing Mei, Jie Zhou, Henry Leung; Sensemood: Depression detection on social media; Pro of the 2020 International Conference on Multimedia Retrieval(ICMR); 2020
4. Xiaoyu Yue, Zhanghui Kuang, Chenhao Lin, Hongbin Sun, Wayne Zhang; RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition; Proc, European Conference on Computer Vision (ECCV); 2020. Codes
5. Kaidi Jin, Tianwei Zhang, Chao Shen, Yufei Chen, Ming Fan, Chenhao Lin, Ting Liu; A unified framework for analyzing and detecting malicious examples of dnn models; arXiv preprint arXiv:2006.14871; 2020
6. Pengwei Hu#, Chenhao Lin#, Hui Su, Shaochun Li, Xue Han, Yuan Zhang, Jing Mei; BlueMemo: Depression Analysis through Twitter Posts; Proc of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI), Demos; 2020
2019:
1. Chenhao Lin, Ajay Kumar*; A CNN-based Framework for Accurately Matching Contactless to Contact-based Fingerprints; IEEE Transactions on Information Forensics and Security (TIFS), 14(3): 662-676; 2019; Codes
2018:
1. Chenhao Lin, Ajay Kumar*; Tetrahedron Based Fast 3D Fingerprint Identification Using Colored LEDs Illumination; IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI); 40(12): 3022-3033; 2018; Dataset
2. Chenhao Lin, Ajay Kumar*; Matching Contactless and Contact-based Conventional Fingerprint Images for Biometrics Identification; IEEE Transactions on Image Processing (TIP); 27(4): 2008-2021; 2018; Dataset
3. Chenhao Lin, Ajay Kumar*; Contactless and Partial 3D Fingerprint Recognition using Deep Representation; Pattern Recognition (PR); 83: 314-327; 2018; Codes
2017 and before:
1. Chenhao Lin, Ajay Kumar*; Multi-Siamese Networks to Accurately Match Contactless to Contact-based Fingerprint Images; Proc, International Joint Conference on Biometrics, IEEE, (IJCB); 277-285; 2017
2. Chenhao Lin, Ajay Kumar*; Improving Cross Sensor Interoperability for Fingerprint Identification; Proc, International Conference on Pattern Recognition, IEEE (ICPR); 943-948; 2016
