2024:

1. 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

2. 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
3. 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
4. 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.
5. 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. 
6. 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. 

7. 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

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