Chia-Yi Hsu

According to our database¹, Chia-Yi Hsu authored at least 17 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Road Decals as Trojans: Disrupting Autonomous Vehicle Navigation with Adversarial Patterns.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

2023

On the Private Data Synthesis Through Deep Generative Models for Data Scarcity of Industrial Internet of Things.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2023

Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?

[BibT_eX]

[DOI]

CoRR, 2023

DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Real-World Adversarial Examples Via Makeup.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

CAFE: Catastrophic Data Leakage in Vertical Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Real-World Adversarial Examples involving Makeup Application.

[BibT_eX]

[DOI]

CoRR, 2021

Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations.

[BibT_eX]

[DOI]

CoRR, 2021

Adversarial Examples for Unsupervised Machine Learning Models.

[BibT_eX]

[DOI]

CoRR, 2021

Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Catastrophic Data Leakage in Vertical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Non-Singular Adversarial Robustness of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2019

Characterizing Adversarial Subspaces by Mutual Information.

[BibT_eX]

[DOI]

Chia-Yi Hsu

Pin-Yu Chen

Chia-Mu Yu

Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security, 2019

2018

On the Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Chia-Yi Hsu

Timeline

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