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Shang-Tse Chen
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2020 – today
- 2024
- [j2]Chia-Che Sa, Li-Chen Cheng
, Hsing-Huan Chung, Te-Chuan Chiu, Chih-Yu Wang, Ai-Chun Pang, Shang-Tse Chen:
Ensuring Bidirectional Privacy on Wireless Split Inference Systems. IEEE Wirel. Commun. 31(5): 134-141 (2024) - [c18]Bo-Han Kung, Shang-Tse Chen:
Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization. AAAI 2024: 21285-21293 - [c17]Hung-Jui Wang, Yu-Yu Wu, Shang-Tse Chen:
Enhancing Targeted Attack Transferability via Diversified Weight Pruning. CVPR Workshops 2024: 2904-2914 - [c16]Hsuan Su, Hua Farn, Fan-Yun Sun, Shang-Tse Chen, Hung-yi Lee:
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition. EMNLP 2024: 8905-8915 - [c15]Yu-Yu Wu, Hung-Jui Wang, Shang-Tse Chen:
Annealing Self-Distillation Rectification Improves Adversarial Training. ICLR 2024 - [i21]Hsuan Su, Hua Farn, Fan-Yun Sun, Shang-Tse Chen, Hung-yi Lee:
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition. CoRR abs/2406.02925 (2024) - [i20]Tsung-Han Wu, Hung-Ting Su, Shang-Tse Chen, Winston H. Hsu:
Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online Robust Distillation. CoRR abs/2409.12946 (2024) - [i19]Jonathan Weiping Li, Ren-Wei Liang, Cheng-Han Yeh, Cheng-Chang Tsai, Kuanchun Yu, Chun-Shien Lu, Shang-Tse Chen:
Adversarial Robustness Overestimation and Instability in TRADES. CoRR abs/2410.07675 (2024) - 2023
- [c14]Tsung-Han Wu, Hung-Ting Su, Shang-Tse Chen, Winston H. Hsu:
Fair Robust Active Learning by Joint Inconsistency. ICCV (Workshops) 2023: 3624-3633 - [i18]Bo-Han Kung, Shang-Tse Chen:
QCRS: Improve Randomized Smoothing using Quasi-Concave Optimization. CoRR abs/2302.00209 (2023) - [i17]Hsuan Su, Shachi H. Kumar, Sahisnu Mazumder, Wenda Chen
Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue. CoRR abs/2302.05888 (2023) - [i16]Yu-Yu Wu, Hung-Jui Wang, Shang-Tse Chen:
Annealing Self-Distillation Rectification Improves Adversarial Training. CoRR abs/2305.12118 (2023) - [i15]Hsuan Su, Cheng-Chu Cheng, Hua Farn, Shachi H. Kumar, Saurav Sahay, Shang-Tse Chen, Hung-yi Lee:
Learning from Red Teaming: Gender Bias Provocation and Mitigation in Large Language Models. CoRR abs/2310.11079 (2023) - [i14]Hsuan Su, Rebecca Qian, Chinnadhurai Sankar, Shahin Shayandeh, Shang-Tse Chen, Hung-yi Lee, Daniel M. Bikel:
Step by Step to Fairness: Attributing Societal Bias in Task-oriented Dialogue Systems. CoRR abs/2311.06513 (2023) - 2022
- [i13]Hsuan Su, Po-Han Chi, Shih-Cheng Huang, Ho-Lam Chung, Saurav Sahay, Shang-Tse Chen, Hung-Yi Lee:
Few-shot Prompting Towards Controllable Response Generation. CoRR abs/2206.03931 (2022) - [i12]Hung-Jui Wang, Yu-Yu Wu, Shang-Tse Chen:
Enhancing Targeted Attack Transferability via Diversified Weight Pruning. CoRR abs/2208.08677 (2022) - [i11]Tsung-Han Wu, Shang-Tse Chen, Winston H. Hsu:
Fair Robust Active Learning by Joint Inconsistency. CoRR abs/2209.10729 (2022) - 2020
- [b1]Shang-Tse Chen:
AI-infused Security: Robust Defense by Bridging Theory and Practice. Georgia Institute of Technology, Atlanta, GA, USA, 2020 - [c13]Scott Freitas, Shang-Tse Chen, Zijie J. Wang
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment. IEEE BigData 2020: 1081-1088 - [i10]Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng Chau:
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment. CoRR abs/2002.09576 (2020)
2010 – 2019
- 2019
- [i9]Cory Cornelius, Shang-Tse Chen, Jason Martin, Duen Horng Chau:
Talk Proposal: Towards the Realistic Evaluation of Evasion Attacks using CARLA. CoRR abs/1904.12622 (2019) - 2018
- [j1]Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Kaya de Barbaro
Chronodes: Interactive Multifocus Exploration of Event Sequences. ACM Trans. Interact. Intell. Syst. 8(1): 2:1-2:21 (2018) - [c12]Maria-Florina Balcan, Avrim Blum, Shang-Tse Chen:
Diversified Strategies for Mitigating Adversarial Attacks in Multiagent Systems. AAMAS 2018: 407-415 - [c11]Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. KDD 2018: 196-204 - [c10]Shang-Tse Chen, Cory Cornelius, Jason Martin, Duen Horng (Polo) Chau
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector. ECML/PKDD (1) 2018: 52-68 - [c9]Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio. ECML/PKDD (3) 2018: 677-681 - [i8]Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau:
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. CoRR abs/1802.06816 (2018) - [i7]Shang-Tse Chen, Cory Cornelius, Jason Martin, Duen Horng Chau:
Robust Physical Adversarial Attack on Faster R-CNN Object Detector. CoRR abs/1804.05810 (2018) - [i6]Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau:
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio. CoRR abs/1805.11852 (2018) - 2017
- [c8]Shang-Tse Chen, Yufei Han, Duen Horng Chau
Predicting Cyber Threats with Virtual Security Products. ACSAC 2017: 189-199 - [p1]Peter J. Polack Jr., Moushumi Sharmin, Kaya de Barbaro
Exploratory Visual Analytics of Mobile Health Data: Sensemaking Challenges and Opportunities. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 349-360 - [i5]Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E. Kounavis, Duen Horng Chau:
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression. CoRR abs/1705.02900 (2017) - 2016
- [c7]Shang-Tse Chen, Maria-Florina Balcan, Duen Horng Chau:
Communication Efficient Distributed Agnostic Boosting. AISTATS 2016: 1299-1307 - [c6]Michael A. Madaio, Shang-Tse Chen, Oliver L. Haimson
Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. KDD 2016: 185-194 - [i4]Michael A. Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina:
Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. CoRR abs/1602.09067 (2016) - [i3]Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Kaya de Barbaro, Moushumi Sharmin, Rahul C. Basole, Duen Horng Chau:
Chronodes: Interactive Multi-focus Exploration of Event Sequences. CoRR abs/1609.08535 (2016) - 2015
- [c5]Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Moushumi Sharmin, Duen Horng Chau
TimeStitch: Interactive multi-focus cohort discovery and comparison. VAST 2015: 209-210 - [c4]Qianao Ju, Shang-Tse Chen, Ying Zhang:
Benchmarking renderscript: potential for energy efficient multi-core mobile devices. SECON Workshops 2015: 25-30 - [i2]Shang-Tse Chen, Maria-Florina Balcan, Duen Horng Chau:
Communication Efficient Distributed Agnostic Boosting. CoRR abs/1506.06318 (2015) - [i1]Paras Jain, Shang-Tse Chen, Mozhgan Azimpourkivi, Duen Horng Chau, Bogdan Carbunar:
Spotting Suspicious Reviews via (Quasi-)clique Extraction. CoRR abs/1509.05935 (2015) - 2014
- [c3]Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu:
Boosting with Online Binary Learners for the Multiclass Bandit Problem. ICML 2014: 342-350 - 2012
- [c2]Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu:
An Online Boosting Algorithm with Theoretical Justifications. ICML 2012
2000 – 2009
- 2009
- [c1]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:
An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. KDD Cup 2009: 57-64
Coauthor Index
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