Chen, Shang-Tse

12 publications

ICML 2025 DRAG: Data Reconstruction Attack Using Guided Diffusion Wa-Kin Lei, Jun-Cheng Chen, Shang-Tse Chen

ICML 2025 Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss Bo-Han Lai, Pin-Han Huang, Bo-Han Kung, Shang-Tse Chen

ICLRW 2025 Revisiting Semi-Supervised Adversarial Training via Noise-Aware Online Robust Distillation Tsung-Han Wu, Hung-Ting Su, Shang-Tse Chen, Winston H. Hsu

ICLR 2024 Annealing Self-Distillation Rectification Improves Adversarial Training Yu-Yu Wu, Hung-Jui Wang, Shang-Tse Chen

CVPRW 2024 Enhancing Targeted Attack Transferability via Diversified Weight Pruning Hung-Jui Wang, Yu-Yu Wu, Shang-Tse Chen

AAAI 2024 Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization Bo-Han Kung, Shang-Tse Chen

NeurIPS 2024 Trap-MID: Trapdoor-Based Defense Against Model Inversion Attacks Zhen-Ting Liu, Shang-Tse Chen

ICCVW 2023 Fair Robust Active Learning by Joint Inconsistency Tsung-Han Wu, Hung-Ting Su, Shang-Tse Chen, Winston H. Hsu

ECML-PKDD 2018 ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen, Cory Cornelius, Jason Martin, Duen Horng (Polo) Chau

AISTATS 2016 Communication Efficient Distributed Agnostic Boosting Shang-Tse Chen, Maria-Florina Balcan, Duen Horng Chau

ICML 2014 Boosting with Online Binary Learners for the Multiclass Bandit Problem Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu

ICML 2012 An Online Boosting Algorithm with Theoretical Justifications Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu