ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector ST Chen, C Cornelius, J Martin, DH Chau arXiv preprint arXiv:1804.05810, 2018 | 469 | 2018 |
Keeping the bad guys out: Protecting and vaccinating deep learning with jpeg compression N Das, M Shanbhogue, ST Chen, F Hohman, L Chen, ME Kounavis, ... arXiv preprint arXiv:1705.02900, 2017 | 353 | 2017 |
Shield: Fast, practical defense and vaccination for deep learning using jpeg compression N Das, M Shanbhogue, ST Chen, F Hohman, S Li, L Chen, ME Kounavis, ... Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 231 | 2018 |
An Online Boosting Algorithm with Theoretical Justifications ST Chen, HT Lin, CJ Lu Proceedings of the Twenty-Ninth International Conference on Machine learning …, 2012 | 100 | 2012 |
Firebird: Predicting fire risk and prioritizing fire inspections in Atlanta M Madaio, ST Chen, OL Haimson, W Zhang, X Cheng, M Hinds-Aldrich, ... Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 77 | 2016 |
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio N Das, M Shanbhogue, ST Chen, L Chen, ME Kounavis, DH Chau Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 42 | 2019 |
Unmask: Adversarial detection and defense through robust feature alignment S Freitas, ST Chen, ZJ Wang, DH Chau 2020 IEEE International Conference on Big Data (Big Data), 1081-1088, 2020 | 26 | 2020 |
Chronodes: Interactive multifocus exploration of event sequences PJ Polack Jr, ST Chen, M Kahng, KD Barbaro, R Basole, M Sharmin, ... ACM Transactions on Interactive Intelligent Systems (TiiS) 8 (1), 1-21, 2018 | 26 | 2018 |
Timestitch: Interactive multi-focus cohort discovery and comparison PJ Polack, ST Chen, M Kahng, M Sharmin, DH Chau 2015 IEEE Conference on Visual Analytics Science and Technology (VAST), 209-210, 2015 | 22 | 2015 |
Boosting with online binary learners for the multiclass bandit problem ST Chen, HT Lin, CJ Lu International Conference on Machine Learning, 342-350, 2014 | 22 | 2014 |
Communication efficient distributed agnostic boosting ST Chen, MF Balcan, DH Chau Artificial Intelligence and Statistics, 1299-1307, 2016 | 21 | 2016 |
An ensemble of three classifiers for kdd cup 2009: Expanded linear model, heterogeneous boosting, and selective naive bayes HY Lo, KW Chang, ST Chen, TH Chiang, CS Ferng, CJ Hsieh, YK Ko, ... KDD-Cup 2009 Competition, 57-64, 2009 | 18 | 2009 |
Compression to the rescue: Defending from adversarial attacks across modalities N Das, M Shanbhogue, ST Chen, F Hohman, S Li, L Chen, ME Kounavis, ... ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2018 | 13 | 2018 |
Predicting cyber threats with virtual security products ST Chen, Y Han, DH Chau, C Gates, M Hart, KA Roundy Proceedings of the 33rd Annual Computer Security Applications Conference …, 2017 | 11 | 2017 |
Exploratory visual analytics of mobile health data: Sensemaking challenges and opportunities PJ Polack, M Sharmin, K de Barbaro, M Kahng, ST Chen, DH Chau Mobile Health: Sensors, Analytic Methods, and Applications, 349-360, 2017 | 9 | 2017 |
Talk proposal: Towards the realistic evaluation of evasion attacks using CARLA C Cornelius, ST Chen, J Martin, DH Chau arXiv preprint arXiv:1904.12622, 2019 | 7 | 2019 |
The efficacy of shield under different threat models C Cornelius, N Das, ST Chen, L Chen, ME Kounavis, DH Chau arXiv preprint arXiv:1902.00541, 2019 | 6 | 2019 |
Position matters! empirical study of order effect in knowledge-grounded dialogue H Su, SH Kumar, S Mazumder, W Chen, R Manuvinakurike, E Okur, ... arXiv preprint arXiv:2302.05888, 2023 | 5 | 2023 |
Security recommendations based on incidents of malware M Hart, KA Roundy, ST Chen, C Gates US Patent 10,262,137, 2019 | 5 | 2019 |
Systems and methods for predicting security incidents triggered by security software ST Chen, C Gates, HAN Yufei, M Hart, K Roundy US Patent 10,242,201, 2019 | 5 | 2019 |