Classification of Pancreatic Cystic Neoplasms Based on Multimodality Images. - Weixiang Chen; Hongchen Ji; Jianjiang Feng; Rong Liu; Yi Yu 011; Ruiquan Zhou; Jie Zhou 001 (MLMI@MICCAI, 2018)

Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond. - Yi Yu 011; Wenhan Yang; Yap-Peng Tan; Alex C. Kot (CVPR, 2022)

Raw Image Reconstruction with Learned Compact Metadata. - Yufei Wang 006; Yi Yu 011; Wenhan Yang; Lanqing Guo; Lap-Pui Chau; Alex C. Kot; Bihan Wen (CVPR, 2023)

Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger. - Yi Yu 011; Yufei Wang 006; Wenhan Yang; Shijian Lu; Yap-Peng Tan; Alex C. Kot (CVPR, 2023)

ExposureDiffusion: Learning to Expose for Low-light Image Enhancement. - Yufei Wang 006; Yi Yu 011; Wenhan Yang; Lanqing Guo; Lap-Pui Chau; Alex C. Kot; Bihan Wen (ICCV, 2023)

Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI. - Chong Wang 011; Lanqing Guo; Yufei Wang 006; Hao Cheng 016; Yi Yu 011; Bihan Wen (CVPR, 2024)

Towards Physical World Backdoor Attacks Against Skeleton Action Recognition. - Qichen Zheng; Yi Yu 011; Siyuan Yang 001; Jun Liu 036; Kwok-Yan Lam; Alex ChiChung Kot (ECCV (48), 2024)

Unlearnable Examples Detection via Iterative Filtering. - Yi Yu 011; Qichen Zheng; Siyuan Yang 001; Wenhan Yang; Jun Liu 036; Shijian Lu; Yap-Peng Tan; Kwok-Yan Lam; Alex C. Kot (ICANN (10), 2024)

Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-Adaptive Attacks. - Chong Wang 011; Yi Yu 011; Lanqing Guo; Bihan Wen (ICASSP, 2024)

Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing. - Song Xia; Yi Yu 011; Xudong Jiang 001; Henghui Ding (ICLR, 2024)

Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders. - Yi Yu 011; Yufei Wang 006; Song Xia; Wenhan Yang; Shijian Lu; Yap-Peng Tan; Alex C. Kot (ICML, 2024)

HideMIA: Hidden Wavelet Mining for Privacy-Enhancing Medical Image Analysis. - Xun Lin; Yi Yu 011; Zitong Yu; Ruohan Meng; Jiale Zhou 001; Ajian Liu 001; Yizhong Liu; Shuai Wang 049; Wenzhong Tang; Zhen Lei 001; Alex C. Kot (ACM Multimedia, 2024)

Transferable Adversarial Attacks on SAM and Its Downstream Models. - Song Xia; Wenhan Yang; Yi Yu 011; Xun Lin; Henghui Ding; Lingyu Duan; Xudong Jiang 001 (NeurIPS, 2024)

Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations. - Xun Lin; Yi Yu 011; Song Xia; Jue Jiang; Haoran Wang; Zitong Yu; Yizhong Liu; Ying Fu; Shuai Wang 049; Wenzhong Tang; Alex C. Kot (CoRR, 2024)

MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection. - Chenqi Kong; Anwei Luo; Song Xia; Yi Yu 011; Haoliang Li; Alex C. Kot (CoRR, 2024)

Single-Image Shadow Removal Using Deep Learning: A Comprehensive Survey. - Lanqing Guo; Chong Wang 011; Yufei Wang 006; Yi Yu 011; Siyu Huang; Wenhan Yang; Alex C. Kot; Bihan Wen (CoRR, 2024)

Semantic Deep Hiding for Robust Unlearnable Examples. - Ruohan Meng; Chenyu Yi; Yi Yu 011; Siyuan Yang 001; Bingquan Shen; Alex C. Kot (IEEE Trans. Inf. Forensics Secur., 2024)

Beyond Learned Metadata-Based Raw Image Reconstruction. - Yufei Wang 006; Yi Yu 011; Wenhan Yang; Lanqing Guo; Lap-Pui Chau; Alex C. Kot; Bihan Wen (Int. J. Comput. Vis., 2024)

Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger. - Yi Yu 011; Song Xia; Xun Lin; Wenhan Yang; Shijian Lu; Yap-Peng Tan; Alex C. Kot (AAAI, 2025)

Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems. - Song Xia; Yi Yu 011; Wenhan Yang; Meiwen Ding; Zhuo Chen 006; Ling-Yu Duan; Alex C. Kot; Xudong Jiang 001 (CVPR, 2025)

Toward Model Resistant to Transferable Adversarial Examples via Trigger Activation. - Yi Yu 011; Song Xia; Xun Lin; Chenqi Kong; Wenhan Yang; Shijian Lu; Yap-Peng Tan; Alex C. Kot (IEEE Trans. Inf. Forensics Secur., 2025)

Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior. - Yi Yu 011; Yufei Wang 006; Wenhan Yang; Lanqing Guo; Shijian Lu; Ling-Yu Duan; Yap-Peng Tan; Alex C. Kot (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation. - Yi Yu 011; Song Xia; Xun Lin; Chenqi Kong; Wenhan Yang; Shijian Lu; Yap-Peng Tan; Alex C. Kot (CoRR, 2025)

Open-set Anomaly Segmentation in Complex Scenarios. - Song Xia; Yi Yu 011; Henghui Ding; Wenhan Yang; Shifei Liu; Alex C. Kot; Xudong Jiang 001 (CoRR, 2025)

MTL-UE: Learning to Learn Nothing for Multi-Task Learning. - Yi Yu 011; Song Xia; Siyuan Yang 001; Chenqi Kong; Wenhan Yang; Shijian Lu; Yap-Peng Tan; Alex C. Kot (CoRR, 2025)

Screen Hijack: Visual Poisoning of VLM Agents in Mobile Environments. - Xuan Wang; Siyuan Liang; Zhe Liu; Yi Yu 011; Yuliang Lu; Xiaochun Cao; Ee-Chien Chang; Xitong Gao (CoRR, 2025)

Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking. - Qiangqiang Wu; Yi Yu 011; Chenqi Kong; Ziquan Liu; Jia Wan 001; Haoliang Li; Alex C. Kot; Antoni B. Chan (CoRR, 2025)

SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision. - Zhaoxu Li; Chenqi Kong; Yi Yu 011; Qiangqiang Wu; Xinghao Jiang; Ngai-Man Cheung; Bihan Wen; Alex ChiChung Kot; Xudong Jiang 001 (CoRR, 2025)

Reliable and Balanced Transfer Learning for Generalized Multimodal Face Anti-Spoofing. - Xun Lin; Ajian Liu 001; Zitong Yu; Rizhao Cai; Shuai Wang 049; Yi Yu 011; Jun Wan 001; Zhen Lei 001; Xiaochun Cao; Alex C. Kot (IEEE Trans. Pattern Anal. Mach. Intell., 2025)