Chia-Yi Hsu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Mutual Information

Image Synthesis

Machine Learning Models

Canonical Correlations

Top Venues

Publications

Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models. CoRR (2024)
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
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? ICLR (2024)
Chih-Hsun Lin, Chia-Yi Hsu, Chia-Mu Yu, Yang Cao, Chun-Ying Huang
DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase. CoRR (2023)
Yen-Ting Chen, Chia-Yi Hsu, Chia-Mu Yu, Mahmoud Barhamgi, Charith Perera
On the Private Data Synthesis Through Deep Generative Models for Data Scarcity of Industrial Internet of Things. IEEE Trans. Ind. Informatics 19 (1) (2023)
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
Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models? CoRR (2023)
Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Chia-Mu Yu
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning. AAAI (2022)
Chang-Sheng Lin, Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu
Real-World Adversarial Examples Via Makeup. ICASSP (2022)
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations. CoRR (2021)
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen
Non-Singular Adversarial Robustness of Neural Networks. ICASSP (2021)
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations. NeurIPS (2021)
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen
Non-Singular Adversarial Robustness of Neural Networks. CoRR (2021)
Chang-Sheng Lin, Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu
Real-World Adversarial Examples involving Makeup Application. CoRR (2021)
Xiao Jin, Pin-Yu Chen, Chia-Yi Hsu, Chia-Mu Yu, Tianyi Chen
CAFE: Catastrophic Data Leakage in Vertical Federated Learning. CoRR (2021)
Xiao Jin, Pin-Yu Chen, Chia-Yi Hsu, Chia-Mu Yu, Tianyi Chen
Catastrophic Data Leakage in Vertical Federated Learning. NeurIPS (2021)
Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Lu, Chia-Mu Yu
Adversarial Examples for Unsupervised Machine Learning Models. CoRR (2021)
Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu
Characterizing Adversarial Subspaces by Mutual Information. AsiaCCS (2019)
Chia-Yi Hsu, Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu
On the Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces. GlobalSIP (2018)
Chia-Yi Hsu, Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu
On The Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces. CoRR (2018)