Yi Yu

Ph.D.,
Nanyang Technological University, Singapore

E-mail: yuyi0010 [AT] e.ntu.edu.sg

About me

Welcome! I am a Postdoctoral Research Fellow working with Prof. Xudong Jiang at Nanyang Technological University (NTU), Singapore. I received my Ph.D. from Nanyang Technological University (NTU) in 2025, advised by Prof. Alex C. Kot, Prof. Yap-Peng Tan, and Prof. Shijian Lu. Earlier, I earned an M.S. in Machine Learning & Data Science from the University of California, San Diego (2020) and a B.E. in Automation from Tsinghua University (2019).

My research focuses on Trustworthy Machine Learning and AI Security, aiming to enhance the security and privacy of AI methods across their full life cycle. I have worked extensively on adversarial attacks, backdoor attacks, and data poisoning (unlearnable examples) as well as their mitigations. Recently, my interests extend to data privacy (e.g., protecting data from unauthorized commercial training and model inversion risks) and the security of foundation models such as LLMs and multimodal systems.

News

[July 28, 2025] Finally, become a Dr.!

Publications

Topics: / / / / /

(* indicates equal contribution; ^† corresponding author.)

	TMI (major revision) Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour-and Texture-Aware Perturbations Xun Lin, Yi Yu^†, Song Xia, Jue Jiang, Haoran Wang, Zitong Yu, Yizhong Liu, Ying Fu, Shuai Wang, Wenzhong Tang, Alex C. Kot major revision by IEEE Transactions on Medical Imaging (TMI), 2025
	TMM (minor revision) MambaTAD: When State-Space Models Meet Long-Range Temporal Action Detection Hui Lu, Yi Yu^†, Shijian Lu, Deepu Rajan, Boon Poh Ng, Alex C. Kot, Xudong Jiang minor revision by IEEE Transactions on Multimedia (TMM), 2025
	ICML'25 MTL-UE: Learning to Learn Nothing for Multi-Task Learning Yi Yu, Song Xia, Siyuan Yang, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot International Conference on Machine Learning (ICML), 2025 Paper
	ICCV'25 Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking Qiangqiang Wu, Yi Yu, Chenqi Kong, Ziquan Liu, Jia Wan, Haoliang Li, Alex Kot, Antoni B. Chan International Conference on Computer Vision (ICCV), 2025 Paper
	TIFS'25 Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation Yi Yu, Song Xia, Xun Lin, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot IEEE Transactions on Information Forensics and Security (TIFS), 2025 Paper
	AAAI'25 Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger Yi Yu, Song Xia, Xun Lin, Wenhan Yang, Shijian Lu, Yap-peng Tan, Alex C. Kot AAAI Conference on Artificial Intelligence (AAAI), 2025 Paper
	TPAMI'24 Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior Yi Yu, Yufei Wang, Song Xia, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Paper
	ICML'24 Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders Yi Yu, Yufei Wang, Song Xia, Wenhan Yang, Shijian Lu, Yap-peng Tan, Alex C. Kot International Conference on Machine Learning (ICML), 2024 Paper
	ACM MM'24 HideMIA: Hidden Wavelet Mining for Privacy-Enhancing Medical Image Analysis Xun Lin, Yi Yu, Zitong Yu, Ruohan Meng, Jiale Zhou, Ajian Liu, Yizhong Liu, Shuai Wang, Wenzhong Tang, Zhen Lei, Alex Kot ACM International Conference on Multimedia (ACM MM), 2024 Paper
	CVPR'23 Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger Yi Yu, Yufei Wang, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Paper
	CVPR'22 Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond Yi Yu, Wenhan Yang, Yap-Peng Tan, Alex C. Kot IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Paper
	CVPR'25 Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems Song Xia, Wenhan Yang, Yi Yu, Xun Lin, Henghui Ding, Lingyu Duan, Xudong Jiang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 Paper
	TPAMI'25 Reliable and Balanced Transfer Learning for Generalized Multimodal Face Anti-Spoofing Xun Lin, Ajian Liu, Zitong Yu, Rizhao Cai, Shuai Wang, Yi Yu, Jun Wan, Zhen Lei, Xiaochun Cao, Alex C. Kot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 Paper
	TDSC'25 MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection Chenqi Kong, Anwei Luo, Peijun Bao, Yi Yu, Haoliang Li, Zengwei Zheng, Shiqi Wang, Alex C. Kot IEEE Transactions on Dependable and Secure Computing (TDSC), 2025 Paper
	NeurIPS'24 Transferable Adversarial Attacks on SAM and Its Downstream Models Song Xia, Wenhan Yang, Yi Yu, Xun Lin, Henghui Ding, Lingyu Duan, Xudong Jiang Annual Conference on Neural Information Processing Systems (NeurIPS), 2024 Paper
	ECCV'24 Towards Physical World Backdoor Attacks against Skeleton Action Recognition Qichen Zheng, Yi Yu, Siyuan Yang, Jun Liu, Kwok Yan Lam, Alex C. Kot European Conference on Computer Vision (ECCV), 2024 Paper
	TIFS'24 Semantic Deep Hiding for Robust Unlearnable Examples Ruohan Meng, Chenyu Yi, Yi Yu, Siyuan Yang, Bingquan Shen, Alex C. Kot IEEE Transactions on Information Forensics and Security (TIFS), 2024 Paper
	CVPR'24 Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI Chong Wang, Lanqing Guo, Yi Yu, Hao Cheng, Bihan Wen IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Paper
	IJCV'24 Beyond Learned Metadata-based Raw Image Reconstruction Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen International Journal of Computer Vision (IJCV), 2024 Paper
	ICLR'24 Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing Song Xia, Yi Yu, Xudong Jiang, Henghui Ding International Conference on Learning Representations (ICLR), 2024 Paper
	ICCV'23 ExposureDiffusion: Learning to Expose for Low-light Image Enhancement Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen International Conference on Computer Vision (ICCV), 2024 Paper
	CVPR'23 Raw Image Reconstruction with Learned Compact Metadata Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Paper

Professional Service

Journal/Conference reviewer: TPAMI, TIP, TIFS, CVPR, NeurIPS, ICLR, ICML, ACM MM, AAAI, KDD

Last updated: Aug 21, 2025