Refereed Conference Papers

ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen, Cory Cornelius, Jason Martin, and Duen Horng (Polo) Chau
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD). Dublin, Ireland. Sept. 2018.
Github | Video

Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen,
Michael E. Kounavis, and Duen Horng (Polo) Chau
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). London, UK. Aug. 2018.
Github | Video | Audience Appreciation Award, Runner-Up

Diversified Strategies for Mitigating Adversarial Attacks in Multiagent Systems
Maria-Florina Balcan, Avrim Blum, and Shang-Tse Chen (alphabetic order)
International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Stockholm, Sweden. July 2018.

Predicting Cyber Threats with Virtual Security Products
Shang-Tse Chen, Yufei Han, Duen Horng (Polo) Chau, Christopher Gates, Michael Hart, and
Kevin Roundy
Annual Computer Security Applications Conference (ACSAC). Orlando, FL. Dec. 2017.
Patent Pending

Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta
Michael Madaio, Shang-Tse Chen, Oliver Haimson, Wenwen Zhang, Xiang Cheng,
Matthew Hinds-Aldrich, Duen Horng (Polo) Chau, and Bistra Dilkina.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). San Francisco, CA. Aug. 2016.
Site | Github | Video | Best Student Paper Award, Runner-Up

Communication Efficient Distributed Agnostic Boosting
Shang-Tse Chen, Maria-Florina Balcan, and Duen Horng (Polo) Chau
International Conference on Artificial Intelligence and Statistics (AISTATS). Cadiz, Spain. May 2016.

Boosting with Online Binary Learners for the Multiclass Bandit Problem
Shang-Tse Chen, Hsuan-Tien Lin, and Chi-Jen Lu
International Conference on Machine Learning (ICML). Beijing, China. June 2014.

An Online Boosting Algorithm with Theoretical Justifications
Shang-Tse Chen, Hsuan-Tien Lin, and Chi-Jen Lu
International Conference on Machine Learning (ICML). Edinburgh, Scotland. June 2012.
Code


Journal Articles and Book Chapters

Chronodes: Interactive Multi-focus Exploration of Event Sequences
Peter J. Polack, Shang-Tse Chen, Minsuk Kahng, Kaya De Barbaro, Rahul Basole, Moushumi Sharmin, Duen Horng (Polo) Chau
ACM Transactions on Interactive Intelligent Systems (TiiS) Special Issue on Interactive Visual Analysis of Human and Crowd Behaviors, 2018.
Video

Exploratory Visual Analytics of Mobile Health Data: Sensemaking Challenges and Opportunities
Peter J. Polack, Moushumi Sharmin, Kaya de Barbaro, Minsuk Kahng, Shang-Tse Chen, and
Duen Horng (Polo) Chau
Mobile Health: Sensors, Analytic Methods, and Applications. Springer, 2017.

Constructing, Analyzing and Visualizing Social Networks: Exemplified by the Academia Social Network in Taiwan
Cheng-Te Li, Chun-Min Chang, Chien-Pang Liu, Shang-Tse Chen, and Shou-De Lin
Journal of Librarianship and Information Studies, 67:72-87, 2008.


Refereed Workshop, Poster, and Demo papers

ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, and
Duen Horng (Polo) Chau
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) (demo). Dublin, Ireland. Sept. 2018.
Video

Physical Adversarial Attack on Object Detectors
Shang-Tse Chen, Cory Cornelius, Jason Martin, and Duen Horng (Polo) Chau
ACM KDD Project Showcase. London, UK. Aug. 2018.

Compression to the Rescue: Defending from Adversarial Attacks Across Modalities
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen,
Michael E. Kounavis, and Duen Horng (Polo) Chau
ACM KDD Project Showcase. London, UK. Aug. 2018.

TimeStitch: Interactive Multi-focus Cohort Discovery and Comparison
Peter J. Polack, Shang-Tse Chen, Minsuk Kahng, Moushumi Sharmin, and Duen Horng (Polo) Chau
IEEE Conference on Visual Analytics Science and Technology (VAST’15) (Poster). Chicago, IL, Oct. 2015.
Video

Spotting Suspicious Reviews via (Quasi-)clique Extraction
Paras Jain, Shang-Tse Chen, Mozhgan Azimpourkivi, Duen Horng (Polo) Chau, and
Bogdan Carbunar
IEEE Symposium on Security and Privacy (Oakland) (poster). SAN JOSE, CA. May 2015.

An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes
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, and Shou-de Lin
JMLR Workshop and Conference Proceedings, V.7, 57-64, 2009.
3rd Place of the KDD Cup’09 Slow Track


Technical Reports

Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E. Kounavis, and Duen Horng (Polo) Chau
arXiv:1705.02900, May 2017.

An Ensemble Ranking Solution to the Yahoo! Learning to Rank Challenge
Ming-Feng Tsai, Shang-Tse Chen, Yao-Nan Chen, Chun-Sung Ferng, Chia-Hsuan Wang,
Tzay-Yeu Wen, and Hsuan-Tien Lin
National Taiwan University, Technical Report, Sept. 2010.