Chia-Yi Hsu

27 papers A* 5A 1Misc 3Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors.
CoRR
Chia-Yi Hsu, Yu-Lin Tsai, Yu Zhe, Yan-Lun Chen, Chih-Hsun Lin, Chia-Mu Yu, Yang Zhang, Chun-Ying Huang, Jun Sakuma
2025 J jnl
DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase.
IEEE Internet Things J.
Chih-Hsun Lin, Chia-Yi Hsu, Chia-Mu Yu, Yang Cao, Chun-Ying Huang
2025 — conf
Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge.
EMNLP (Findings)
Yan-Lun Chen, Yi-Ru Wei, Chia-Yi Hsu, Chi-Yu Li, Chun-Ying Huang, Ying-Dar Lin, Yu-Sung Wu, Wei-Bin Lee
2025 J jnl
Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge.
CoRR
Yan-Lun Chen, Yi-Ru Wei, Chia-Yi Hsu, Chia-Mu Yu, Chun-Ying Huang, Ying-Dar Lin, Yu-Sung Wu, Wei-Bin Lee
2025 Misc conf
VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis.
ICASSP
Chia-Yi Hsu, Jia-You Chen, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
2025 J jnl
VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis.
CoRR
Chia-Yi Hsu, Jia-You Chen, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
2024 — conf
Deepfake Detection through Temporal Attention.
WOCC
Hsiu-Fu Wu, Chia-Yi Hsu, Chih-Hsun Lin, Chia-Mu Yu, Chun-Ying Huang
2024 A* conf
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
ICLR
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
2024 — conf
Road Decals as Trojans: Disrupting Autonomous Vehicle Navigation with Adversarial Patterns.
DSN-S
Wei-Jia Chen, Chia-Yi Hsu, Wei-Bin Lee, Chia-Mu Yu, Chun-Ying Huang
2024 A* conf
Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models.
NeurIPS
Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
2024 J jnl
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models.
CoRR
Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
2023 J jnl
DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase.
CoRR
Chih-Hsun Lin, Chia-Yi Hsu, Chia-Mu Yu, Yang Cao, Chun-Ying Huang
2023 J jnl
On the Private Data Synthesis Through Deep Generative Models for Data Scarcity of Industrial Internet of Things.
IEEE Trans. Ind. Informatics
Yen-Ting Chen, Chia-Yi Hsu, Chia-Mu Yu, Mahmoud Barhamgi, Charith Perera
2023 J jnl
Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?
CoRR
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
2022 A* conf
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning.
AAAI
Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Chia-Mu Yu
2022 Misc conf
Real-World Adversarial Examples Via Makeup.
ICASSP
Chang-Sheng Lin, Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu
2021 J jnl
Adversarial Examples for Unsupervised Machine Learning Models.
CoRR
Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Lu, Chia-Mu Yu
2021 J jnl
CAFE: Catastrophic Data Leakage in Vertical Federated Learning.
CoRR
Xiao Jin, Pin-Yu Chen, Chia-Yi Hsu, Chia-Mu Yu, Tianyi Chen
2021 A* conf
Catastrophic Data Leakage in Vertical Federated Learning.
NeurIPS
Xiao Jin, Pin-Yu Chen, Chia-Yi Hsu, Chia-Mu Yu, Tianyi Chen
2021 A* conf
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations.
NeurIPS
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen
2021 J jnl
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations.
CoRR
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen
2021 Misc conf
Non-Singular Adversarial Robustness of Neural Networks.
ICASSP
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen
2021 J jnl
Non-Singular Adversarial Robustness of Neural Networks.
CoRR
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen
2021 J jnl
Real-World Adversarial Examples involving Makeup Application.
CoRR
Chang-Sheng Lin, Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu
2019 A conf
Characterizing Adversarial Subspaces by Mutual Information.
AsiaCCS
Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu
2018 J jnl
On The Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces.
CoRR
Chia-Yi Hsu, Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu
2018 — conf
On the Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces.
GlobalSIP
Chia-Yi Hsu, Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu