Shang-Tse Chen

58 papers A* 9A 3Journal 33Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ALICE: A Multifaceted Evaluation Framework of Large Audio-Language Models' In-Context Learning Ability. CoRR Yen-Ting Piao, Jay Chiehen Liao, Wei-Tang Chien, Toshiki Ogimoto, Shang-Tse Chen, Yun-Nung Chen, Chun-Yi Lee, Shao-Yuan Lo
2026	—	`conf`	Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors. EACL (Volume 1: Long Papers) Ren-Wei Liang, Chin-Ting Hsu, Chan-Hung Yu, Saransh Agrawal, Shih-Cheng Huang, Chieh-Yen Lin, Shang-Tse Chen, Kuan-Hao Huang, Shao-Hua Sun
2026	J	`jnl`	Expanding the Role of Diffusion Models for Robust Classifier Training. CoRR Pin-Han Huang, Shang-Tse Chen, Hsuan-Tien Lin
2026	J	`jnl`	Latent-Mark: An Audio Watermark Robust to Neural Resynthesis. CoRR Yen-Shan Chen, Shih-Yu Lai, Ying-Jung Tsou, Yi-Cheng Lin, Bing-Yu Chen, Yun-Nung Chen, Hung-yi Lee, Shang-Tse Chen
2025	J	`jnl`	Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors. CoRR Ren-Wei Liang, Chin-Ting Hsu, Chan-Hung Yu, Saransh Agrawal, Shih-Cheng Huang, Shang-Tse Chen, Kuan-Hao Huang, Shao-Hua Sun
2025	A*	`conf`	DRAG: Data Reconstruction Attack using Guided Diffusion. ICML Wa-Kin Lei, Jun-Cheng Chen, Shang-Tse Chen
2025	J	`jnl`	DRAG: Data Reconstruction Attack using Guided Diffusion. CoRR Wa-Kin Lei, Jun-Cheng Chen, Shang-Tse Chen
2025	A*	`conf`	Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss. ICML Bo-Han Lai, Pin-Han Huang, Bo-Han Kung, Shang-Tse Chen
2025	J	`jnl`	Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss. CoRR Bo-Han Lai, Pin-Han Huang, Bo-Han Kung, Shang-Tse Chen
2025	—	`conf`	Jailbreaking with Universal Multi-Prompts. NAACL (Findings) Yu-Ling Hsu, Hsuan Su, Shang-Tse Chen
2025	J	`jnl`	Jailbreaking with Universal Multi-Prompts. CoRR Yu-Ling Hsu, Hsuan Su, Shang-Tse Chen
2025	J	`jnl`	Pseudo2Real: Task Arithmetic for Pseudo-Label Correction in Automatic Speech Recognition. CoRR Yi-Cheng Lin, Yu-Hsuan Li Liang, Hsuan Su, Tzu-Quan Lin, Shang-Tse Chen, Yun-Nung Chen, Hung-yi Lee
2025	—	`conf`	Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging. EMNLP (Findings) Hua Farn, Hsuan Su, Shachi H. Kumar, Saurav Sahay, Shang-Tse Chen, Hung-yi Lee
2024	J	`jnl`	Adversarial Robustness Overestimation and Instability in TRADES. CoRR Jonathan Weiping Li, Ren-Wei Liang, Cheng-Han Yeh, Cheng-Chang Tsai, Kuanchun Yu, Chun-Shien Lu, Shang-Tse Chen
2024	A*	`conf`	Annealing Self-Distillation Rectification Improves Adversarial Training. ICLR Yu-Yu Wu, Hung-Jui Wang, Shang-Tse Chen
2024	—	`conf`	Enhancing Targeted Attack Transferability via Diversified Weight Pruning. CVPR Workshops Hung-Jui Wang, Yu-Yu Wu, Shang-Tse Chen
2024	J	`jnl`	Ensuring Bidirectional Privacy on Wireless Split Inference Systems. IEEE Wirel. Commun. Chia-Che Sa, Li-Chen Cheng, Hsing-Huan Chung, Te-Chuan Chiu, Chih-Yu Wang, Ai-Chun Pang, Shang-Tse Chen
2024	J	`jnl`	Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online Robust Distillation. CoRR Tsung-Han Wu, Hung-Ting Su, Shang-Tse Chen, Winston H. Hsu
2024	J	`jnl`	Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging. CoRR Hua Farn, Hsuan Su, Shachi H. Kumar, Saurav Sahay, Shang-Tse Chen, Hung-yi Lee
2024	A*	`conf`	Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition. EMNLP Hsuan Su, Hua Farn, Fan-Yun Sun, Shang-Tse Chen, Hung-yi Lee
2024	J	`jnl`	Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition. CoRR Hsuan Su, Hua Farn, Fan-Yun Sun, Shang-Tse Chen, Hung-yi Lee
2024	A*	`conf`	Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization. AAAI Bo-Han Kung, Shang-Tse Chen
2024	J	`jnl`	Trap-MID: Trapdoor-based Defense against Model Inversion Attacks. CoRR Zhen-Ting Liu, Shang-Tse Chen
2023	J	`jnl`	Annealing Self-Distillation Rectification Improves Adversarial Training. CoRR Yu-Yu Wu, Hung-Jui Wang, Shang-Tse Chen
2023	—	`conf`	Fair Robust Active Learning by Joint Inconsistency. ICCV (Workshops) Tsung-Han Wu, Hung-Ting Su, Shang-Tse Chen, Winston H. Hsu
2023	J	`jnl`	Learning from Red Teaming: Gender Bias Provocation and Mitigation in Large Language Models. CoRR Hsuan Su, Cheng-Chu Cheng, Hua Farn, Shachi H. Kumar, Saurav Sahay, Shang-Tse Chen, Hung-yi Lee
2023	J	`jnl`	Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue. CoRR Hsuan Su, Shachi H. Kumar, Sahisnu Mazumder, Wenda Chen, Ramesh Manuvinakurike, Eda Okur, Saurav Sahay, Lama Nachman, Shang-Tse Chen, Hung-yi Lee
2023	J	`jnl`	QCRS: Improve Randomized Smoothing using Quasi-Concave Optimization. CoRR Bo-Han Kung, Shang-Tse Chen
2023	J	`jnl`	Step by Step to Fairness: Attributing Societal Bias in Task-oriented Dialogue Systems. CoRR Hsuan Su, Rebecca Qian, Chinnadhurai Sankar, Shahin Shayandeh, Shang-Tse Chen, Hung-yi Lee, Daniel M. Bikel
2022	J	`jnl`	Enhancing Targeted Attack Transferability via Diversified Weight Pruning. CoRR Hung-Jui Wang, Yu-Yu Wu, Shang-Tse Chen
2022	J	`jnl`	Fair Robust Active Learning by Joint Inconsistency. CoRR Tsung-Han Wu, Shang-Tse Chen, Winston H. Hsu
2022	J	`jnl`	Few-shot Prompting Towards Controllable Response Generation. CoRR Hsuan Su, Po-Han Chi, Shih-Cheng Huang, Ho-Lam Chung, Saurav Sahay, Shang-Tse Chen, Hung-yi Lee
2020	—	`—`	AI-infused Security: Robust Defense by Bridging Theory and Practice. Shang-Tse Chen
2020	—	`conf`	UnMask: Adversarial Detection and Defense Through Robust Feature Alignment. IEEE BigData Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng Chau
2020	J	`jnl`	UnMask: Adversarial Detection and Defense Through Robust Feature Alignment. CoRR Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng Chau
2019	J	`jnl`	Talk Proposal: Towards the Realistic Evaluation of Evasion Attacks using CARLA. CoRR Cory Cornelius, Shang-Tse Chen, Jason Martin, Duen Horng Chau
2018	—	`conf`	ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio. ECML/PKDD (3) Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau
2018	J	`jnl`	ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio. CoRR Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau
2018	J	`jnl`	Chronodes: Interactive Multifocus Exploration of Event Sequences. ACM Trans. Interact. Intell. Syst. Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Kaya de Barbaro, Rahul C. Basole, Moushumi Sharmin, Duen Horng Chau
2018	A	`conf`	Diversified Strategies for Mitigating Adversarial Attacks in Multiagent Systems. AAMAS Maria-Florina Balcan, Avrim Blum, Shang-Tse Chen
2018	J	`jnl`	Robust Physical Adversarial Attack on Faster R-CNN Object Detector. CoRR Shang-Tse Chen, Cory Cornelius, Jason Martin, Duen Horng Chau
2018	A*	`conf`	SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. KDD Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
2018	—	`conf`	ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector. ECML/PKDD (1) Shang-Tse Chen, Cory Cornelius, Jason Martin, Duen Horng (Polo) Chau
2018	J	`jnl`	Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. CoRR Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
2017	—	`ch.`	Exploratory Visual Analytics of Mobile Health Data: Sensemaking Challenges and Opportunities. Mobile Health - Sensors, Analytic Methods, and Applications Peter J. Polack Jr., Moushumi Sharmin, Kaya de Barbaro, Minsuk Kahng, Shang-Tse Chen, Duen Horng Chau
2017	J	`jnl`	Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression. CoRR Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E. Kounavis, Duen Horng Chau
2017	A	`conf`	Predicting Cyber Threats with Virtual Security Products. ACSAC Shang-Tse Chen, Yufei Han, Duen Horng Chau, Christopher S. Gates, Michael Hart, Kevin A. Roundy
2016	J	`jnl`	Chronodes: Interactive Multi-focus Exploration of Event Sequences. CoRR Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Kaya de Barbaro, Moushumi Sharmin, Rahul C. Basole, Duen Horng Chau
2016	A	`conf`	Communication Efficient Distributed Agnostic Boosting. AISTATS Shang-Tse Chen, Maria-Florina Balcan, Duen Horng Chau
2016	A*	`conf`	Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. KDD Michael A. Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina
2016	J	`jnl`	Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. CoRR Michael A. Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina
2015	—	`conf`	Benchmarking renderscript: potential for energy efficient multi-core mobile devices. SECON Workshops Qianao Ju, Shang-Tse Chen, Ying Zhang
2015	J	`jnl`	Communication Efficient Distributed Agnostic Boosting. CoRR Shang-Tse Chen, Maria-Florina Balcan, Duen Horng Chau
2015	J	`jnl`	Spotting Suspicious Reviews via (Quasi-)clique Extraction. CoRR Paras Jain, Shang-Tse Chen, Mozhgan Azimpourkivi, Duen Horng Chau, Bogdan Carbunar
2015	—	`conf`	TimeStitch: Interactive multi-focus cohort discovery and comparison. VAST Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Moushumi Sharmin, Duen Horng Chau
2014	A*	`conf`	Boosting with Online Binary Learners for the Multiclass Bandit Problem. ICML Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu
2012	A*	`conf`	An Online Boosting Algorithm with Theoretical Justifications. ICML Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu
2009	—	`conf`	An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. KDD Cup Hung-Yi Lo, Kai-Wei Chang, Shang-Tse Chen, Tsung-Hsien Chiang, Chun-Sung Ferng, Cho-Jui Hsieh, Yi-Kuang Ko, Tsung-Ting Kuo, Hung-Che Lai, Ken-Yi Lin, Chia-Hsuan Wang, Hsiang-Fu Yu, Chih-Jen Lin, Hsuan-Tien Lin, Shou-De Lin