Ching-Chia Kao

According to our database, Ching-Chia Kao authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Safety Alignment Depth in Large Language Models: A Markov Chain Perspective.

Ching-Chia Kao, Chia-Mu Yu, Chun-Shien Lu, Chu-Song Chen

CoRR, February, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Information-Theoretical Principled Trade-off between Jailbreakability and Stealthiness on Vision Language Models.

Ching-Chia Kao, Chia-Mu Yu, Chun-Shien Lu, Chu-Song Chen

CoRR, 2024

Defending Against Repetitive-based 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

CoRR, 2024

Image Forensics Strikes Back: Defense Against Adversarial Patch.

Ching-Chia Kao, Chun-Shien Lu, Chia-Mu Yu

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2024

On the Higher Moment Disparity of Backdoor Attacks.

Ching-Chia Kao, Cheng-Yi Lee, Chun-Shien Lu, Chia-Mu Yu, Chu-Song Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Defending against Clean-Image Backdoor Attack in Multi-Label Classification.

Cheng-Yi Lee, Cheng-Chang Tsai, Ching-Chia Kao, Chun-Shien Lu, Chia-Mu Yu

Proceedings of the IEEE International Conference on Acoustics, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Inhibition of Long-Term Variability in Decoding Forelimb Trajectory Using Evolutionary Neural Networks With Error-Correction Learning.

Shih-Hung Yang, Han-Lin Wang, Yu-Chun Lo, Hsin-Yi Lai, Kuan-Yu Chen, Yu-Hao Lan, Ching-Chia Kao, Chin Chou, Sheng-Huang Lin, Jyun-We Huang, Ching-Fu Wang, Chao-Hung Kuo, You-Yin Chen

Frontiers Comput. Neurosci., 2020

Deterministic Certification to Adversarial Attacks via Bernstein Polynomial Approximation.

Ching-Chia Kao, Jhe-Bang Ko, Chun-Shien Lu

CoRR, 2020