Yu, Chia-Mu

14 publications

WACV 2025 Defending Against Repetitive Backdoor Attacks on Semi-Supervised Learning Through Lens of Rate-Distortion-Perception Trade-Off Cheng-Yi Lee, Ching-Chia Kao, Cheng-Han Yeh, Chun-Shien Lu, Chia-Mu Yu, Chu-Song Chen

ICCV 2025 Differentially Private Fine-Tuning of Diffusion Models Yu-Lin Tsai, Yizhe Li, Chia-Mu Yu, Xuebin Ren, Po-Yu Chen, Zekai Chen, Francois Buet-Golfouse

WACV 2025 DiffuseKronA: A Parameter Efficient Fine-Tuning Method for Personalized Diffusion Models Shyam Marjit, Harshit Singh, Nityanand Mathur, Sayak Paul, Chia-Mu Yu, Pin-Yu Chen

NeurIPS 2025 Safety Depth in Large Language Models: A Markov Chain Perspective Ching-Chia Kao, Chia-Mu Yu, Chun-Shien Lu, Chu-Song Chen

ACML 2025 The Great Contradiction Showdown: How Jailbreak and Stealth Wrestle in Vision-Language Models? Ching-Chia Kao, Chia-Mu Yu, Chun-Shien Lu, Chu-Song Chen

ICLR 2024 Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective Ming-Yu Chung, Sheng-Yen Chou, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo, Tsung-Yi Ho

ICLR 2024 Ring-a-Bell! How Reliable Are Concept Removal Methods for Diffusion Models? Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang

NeurIPS 2024 Safe LoRA: The Silver Lining of Reducing Safety Risks When Finetuning Large Language Models Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang

ICCV 2023 Exploring the Benefits of Visual Prompting in Differential Privacy Yizhe Li, Yu-Lin Tsai, Chia-Mu Yu, Pin-Yu Chen, Xuebin Ren

AAAI 2022 Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Chia-Mu Yu

CVPR 2022 DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis Jia-Wei Chen, Chia-Mu Yu, Ching-Chia Kao, Tzai-Wei Pang, Chun-Shien Lu

NeurIPS 2021 CAFE: Catastrophic Data Leakage in Vertical Federated Learning Xiao Jin, Pin-Yu Chen, Chia-Yi Hsu, Chia-Mu Yu, Tianyi Chen

NeurIPS 2021 Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen

CVPR 2021 Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation with Manipulable Semantics Jia-Wei Chen, Li-Ju Chen, Chia-Mu Yu, Chun-Shien Lu