Chenhao Lin

According to our database, Chenhao Lin authored at least 41 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization.

Yulong Yang, Chenhao Lin, Qian Li, Zhengyu Zhao, Haoran Fan, Dawei Zhou, Nannan Wang, Tongliang Liu, Chao Shen

IEEE Trans. Inf. Forensics Secur., 2024

Towards Gradient-Based Saliency Consensus Training for Adversarial Robustness.

Qian Li, Chao Shen, Qingyuan Hu, Chenhao Lin, Xiang Ji, Saiyu Qi

IEEE Trans. Dependable Secur. Comput., 2024

Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving.

Junhao Zheng, Chenhao Lin, Jiahao Sun, Zhengyu Zhao, Qian Li, Chao Shen

CoRR, 2024

LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection.

Jiwei Tian, Chao Shen, Buhong Wang, Xiaofang Xia, Meng Zhang, Chenhao Lin, Qian Li

CoRR, 2024

SSL-OTA: Unveiling Backdoor Threats in Self-Supervised Learning for Object Detection.

Qiannan Wang, Changchun Yin, Liming Fang, Lu Zhou, Zhe Liu, Run Wang, Chenhao Lin

CoRR, 2024

TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution.

Mengjie Wu, Jingui Ma, Run Wang, Sidan Zhang, Ziyou Liang, Boheng Li, Chenhao Lin, Liming Fang, Lina Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Sensitive region-aware black-box adversarial attacks.

Chenhao Lin, Sicong Han, Jiongli Zhu, Qian Li, Chao Shen, Youwei Zhang, Xiaohong Guan

Inf. Sci., August, 2023

Revisiting Gradient Regularization: Inject Robust Saliency-Aware Weight Bias for Adversarial Defense.

Qian Li, Qingyuan Hu, Chenhao Lin, Di Wu, Chao Shen

IEEE Trans. Inf. Forensics Secur., 2023

CrossBehaAuth: Cross-Scenario Behavioral Biometrics Authentication Using Keystroke Dynamics.

Chenhao Lin, Jingyi He, Chao Shen, Qi Li, Qian Wang

IEEE Trans. Dependable Secur. Comput., 2023

Can We Mitigate Backdoor Attack Using Adversarial Detection Methods?

Kaidi Jin, Tianwei Zhang, Chao Shen, Yufei Chen, Ming Fan, Chenhao Lin, Ting Liu

IEEE Trans. Dependable Secur. Comput., 2023

Interpreting Adversarial Examples in Deep Learning: A Review.

Sicong Han, Chenhao Lin, Chao Shen, Qian Wang, Xiaohong Guan

ACM Comput. Surv., 2023

Collapse-Oriented Adversarial Training with Triplet Decoupling for Robust Image Retrieval.

Qiwei Tian, Chenhao Lin, Qian Li, Zhengyu Zhao, Chao Shen

CoRR, 2023

Towards Deep Learning Models Resistant to Transfer-based Adversarial Attacks via Data-centric Robust Learning.

Yulong Yang, Chenhao Lin, Xiang Ji, Qiwei Tian, Qian Li, Hongshan Yang, Zhibo Wang, Chao Shen

CoRR, 2023

Exploiting Facial Relationships and Feature Aggregation for Multi-Face Forgery Detection.

Chenhao Lin, Fangbin Yi, Hang Wang, Qian Li, Jingyi Deng, Chao Shen

CoRR, 2023

GhostEncoder: Stealthy Backdoor Attacks with Dynamic Triggers to Pre-trained Encoders in Self-supervised Learning.

Qiannan Wang, Changchun Yin, Zhe Liu, Liming Fang, Run Wang, Chenhao Lin

CoRR, 2023

SSL-Auth: An Authentication Framework by Fragile Watermarking for Pre-trained Encoders in Self-supervised Learning.

Xiaobei Li, Changchun Yin, Liming Fang, Run Wang, Chenhao Lin

CoRR, 2023

Hard Adversarial Example Mining for Improving Robust Fairness.

Chenhao Lin, Xiang Ji, Yulong Yang, Qian Li, Chao Shen, Run Wang, Liming Fang

CoRR, 2023

Quantization Aware Attack: Enhancing the Transferability of Adversarial Attacks across Target Models with Different Quantization Bitwidths.

Yulong Yang, Chenhao Lin, Qian Li, Chao Shen, Dawei Zhou, Nannan Wang, Tongliang Liu

CoRR, 2023

End-to-end Face-swapping via Adaptive Latent Representation Learning.

Chenhao Lin, Pengbin Hu, Chao Shen, Qian Li

CoRR, 2023

KENKU: Towards Efficient and Stealthy Black-box Adversarial Attacks against ASR Systems.

Xinghui Wu, Shiqing Ma, Chao Shen, Chenhao Lin, Qian Wang, Qi Li, Yuan Rao

Proceedings of the 32nd USENIX Security Symposium, 2023

Learning Heuristically-Selected and Neurally-Guided Feature for Age Group Recognition Using Unconstrained Smartphone Interaction.

Yingmao Miao, Qiwei Tian, Chenhao Lin, Tianle Song, Yajie Zhou, Junyi Zhao, Shuxin Gao, Minghui Yang, Chao Shen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Black-Box Fairness Testing with Shadow Models.

Weipeng Jiang, Chao Shen, Chenhao Lin, Jingyi Wang, Jun Sun, Xuanqi Gao

Proceedings of the Information and Communications Security - 25th International Conference, 2023

A Surrogate-Based Optimization Method for Solving Economic Emission Dispatch Problems with Green Certificate Trading and Wind Power.

Chen Lu, Huijun Liang, Heng Xie, Chenhao Lin, Shuxin Lu

Proceedings of the Bio-Inspired Computing: Theories and Applications, 2023

MLGL: Model-free Lesion Generation and Learning for Diabetic Retinopathy Diagnosis.

Jiajia Li, Chenhao Lin, Zikai Wang, Haitao Song, Feng Tan, Lun Hu, Pengwei Hu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Making the Implicit Explicit: Depression Detection in Web across Posted Texts and Images.

Pengwei Hu, Chenhao Lin, Jiajia Li, Feng Tan, Xue Han, Xi Zhou, Lun Hu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Artificial Intelligence Security Competition (AISC).

Yinpeng Dong, Peng Chen, Senyou Deng, Lianji L, Yi Sun, Hanyu Zhao, Jiaxing Li, Yunteng Tan, Xinyu Liu, Yangyi Dong, Enhui Xu, Jincai Xu, Shu Xu, Xuelin Fu, Changfeng Sun, Haoliang Han, Xuchong Zhang, Shen Chen, Zhimin Sun, Junyi Cao, Taiping Yao, Shouhong Ding, Yu Wu, Jian Lin, Tianpeng Wu, Ye Wang, Yu Fu, Lin Feng, Kangkang Gao, Zeyu Liu, Yuanzhe Pang, Chengqi Duan, Huipeng Zhou, Yajie Wang, Yuhang Zhao, Shangbo Wu, Haoran Lyu, Zhiyu Lin, Yifei Gao, Shuang Li, Haonan Wang, Jitao Sang, Chen Ma, Junhao Zheng, Yijia Li, Chao Shen, Chenhao Lin, Zhichao Cui, Guoshuai Liu, Huafeng Shi, Kun Hu, Mengxin Zhang

CoRR, 2022

Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks.

Run Wang, Jixing Ren, Boheng Li, Tianyi She, Chenhao Lin, Liming Fang, Jing Chen, Chao Shen, Lina Wang

CoRR, 2022

Towards Benchmarking and Evaluating Deepfake Detection.

Chenhao Lin, Jingyi Deng, Pengbin Hu, Chao Shen, Qian Wang, Qi Li

CoRR, 2022

2021

Spatial Dual-Modality Graph Reasoning for Key Information Extraction.

Hongbin Sun, Zhanghui Kuang, Xiaoyu Yue, Chenhao Lin, Wayne Zhang

CoRR, 2021

Rethinking Adversarial Examples Exploiting Frequency-Based Analysis.

Sicong Han, Chenhao Lin, Chao Shen, Qian Wang

Proceedings of the Information and Communications Security - 23rd International Conference, 2021

2020

A Unified Framework for Analyzing and Detecting Malicious Examples of DNN Models.

Kaidi Jin, Tianwei Zhang, Chao Shen, Yufei Chen, Ming Fan, Chenhao Lin, Ting Liu

CoRR, 2020

SenseMood: Depression Detection on Social Media.

Chenhao Lin, Pengwei Hu, Hui Su, Shaochun Li, Jing Mei, Jie Zhou, Henry Leung

Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

BlueMemo: Depression Analysis through Twitter Posts.

Pengwei Hu, Chenhao Lin, Hui Su, Shaochun Li, Xue Han, Yuan Zhang, Jing Mei

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition.

Xiaoyu Yue, Zhanghui Kuang, Chenhao Lin, Hongbin Sun, Wayne Zhang

Proceedings of the Computer Vision - ECCV 2020, 2020

Object Instance Mining for Weakly Supervised Object Detection.

Chenhao Lin, Siwen Wang, Dongqi Xu, Yu Lu, Wayne Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A CNN-Based Framework for Comparison of Contactless to Contact-Based Fingerprints.

Chenhao Lin, Ajay Kumar

IEEE Trans. Inf. Forensics Secur., 2019

2018

Matching Contactless and Contact-Based Conventional Fingerprint Images for Biometrics Identification.

Chenhao Lin, Ajay Kumar

IEEE Trans. Image Process., 2018

Contactless and partial 3D fingerprint recognition using multi-view deep representation.

Chenhao Lin, Ajay Kumar

Pattern Recognit., 2018

Tetrahedron Based Fast 3D Fingerprint Identification Using Colored LEDs Illumination.

Chenhao Lin, Ajay Kumar

IEEE Trans. Pattern Anal. Mach. Intell., 2018

2017

Multi-Siamese networks to accurately match contactless to contact-based fingerprint images.

Chenhao Lin, Ajay Kumar

Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

2016

Improving cross sensor interoperability for fingerprint identification.

Chenhao Lin, Ajay Kumar

Proceedings of the 23rd International Conference on Pattern Recognition, 2016