On the Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces. - Chia-Yi Hsu; Pei-Hsuan Lu; Pin-Yu Chen; Chia-Mu Yu (GlobalSIP, 2018)

Characterizing Adversarial Subspaces by Mutual Information. - Chia-Yi Hsu; Pin-Yu Chen; Chia-Mu Yu (AsiaCCS, 2019)

Non-Singular Adversarial Robustness of Neural Networks. - Yu-Lin Tsai; Chia-Yi Hsu; Chia-Mu Yu; Pin-Yu Chen (ICASSP, 2021)

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 (NeurIPS, 2021)

Adversarial Examples for Unsupervised Machine Learning Models. - Chia-Yi Hsu; Pin-Yu Chen; Songtao Lu; Sijia Lu; Chia-Mu Yu (CoRR, 2021)

Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations. - Yu-Lin Tsai; Chia-Yi Hsu; Chia-Mu Yu; Pin-Yu Chen (CoRR, 2021)

Real-World Adversarial Examples involving Makeup Application. - Chang-Sheng Lin; Chia-Yi Hsu; Pin-Yu Chen; Chia-Mu Yu (CoRR, 2021)

CAFE: Catastrophic Data Leakage in Vertical Federated Learning. - Xiao Jin; Pin-Yu Chen; Chia-Yi Hsu; Chia-Mu Yu; Tianyi Chen (CoRR, 2021)

Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning. - Chia-Yi Hsu; Pin-Yu Chen; Songtao Lu; Sijia Liu 001; Chia-Mu Yu (AAAI, 2022)

Real-World Adversarial Examples Via Makeup. - Chang-Sheng Lin; Chia-Yi Hsu; Pin-Yu Chen; Chia-Mu Yu (ICASSP, 2022)

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 (CoRR, 2023)

On the Private Data Synthesis Through Deep Generative Models for Data Scarcity of Industrial Internet of Things. - Yen-Ting Chen; Chia-Yi Hsu; Chia-Mu Yu; Mahmoud Barhamgi; Charith Perera (IEEE Trans. Ind. Informatics, 2023)

Road Decals as Trojans: Disrupting Autonomous Vehicle Navigation with Adversarial Patterns. - Wei-Jia Chen; Chia-Yi Hsu; Wei-Bin Lee; Chia-Mu Yu; Chun-Ying Huang (DSN-S, 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 026; Pin-Yu Chen; Chia-Mu Yu; Chun-Ying Huang (ICLR, 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 (NeurIPS, 2024)

Deepfake Detection through Temporal Attention. - Hsiu-Fu Wu; Chia-Yi Hsu; Chih-Hsun Lin; Chia-Mu Yu; Chun-Ying Huang (WOCC, 2024)

Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models. - Chia-Yi Hsu; Yu-Lin Tsai; Chih-Hsun Lin; Pin-Yu Chen; Chia-Mu Yu; Chun-Ying Huang (CoRR, 2024)

VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis. - Chia-Yi Hsu; Jia-You Chen; Yu-Lin Tsai; Chih-Hsun Lin; Pin-Yu Chen; Chia-Mu Yu; Chun-Ying Huang (ICASSP, 2025)

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors. - Chia-Yi Hsu; Yu-Lin Tsai; Yu Zhe; Yan-Lun Chen; Chih-Hsun Lin; Chia-Mu Yu; Yang Zhang; Chun-Ying Huang; Jun Sakuma (CoRR, 2025)

Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge. - Yan-Lun Chen; Yi-Ru Wei; Chia-Yi Hsu; Chia-Mu Yu; Chun-Ying Huang; Ying-Dar Lin; Yu-Sung Wu; Wei-Bin Lee (CoRR, 2025)

DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase. - Chih-Hsun Lin; Chia-Yi Hsu; Chia-Mu Yu; Yang Cao 011; Chun-Ying Huang (IEEE Internet Things J., 2025)