Deterministic Certification to Adversarial Attacks via Bernstein Polynomial Approximation. - Ching-Chia Kao; Jhe-Bang Ko; Chun-Shien Lu (CoRR, 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; et al. (Frontiers Comput. Neurosci., 2020)

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 (CVPR, 2022)

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 (ICASSP, 2024)

On the Higher Moment Disparity of Backdoor Attacks. - Ching-Chia Kao; Cheng-Yi Lee; Chun-Shien Lu; Chia-Mu Yu; Chu-Song Chen (ICME, 2024)

Image Forensics Strikes Back: Defense Against Adversarial Patch. - Ching-Chia Kao; Chun-Shien Lu; Chia-Mu Yu (VCIP, 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)

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 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 (WACV, 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, 2025)