| Netprobe: a fast and scalable system for fraud detection in online auction networks S Pandit, DH Chau, S Wang, C Faloutsos Proceedings of the 16th international conference on World Wide Web, 201-210, 2007 | 467 | 2007 |
| Visual analytics in deep learning: An interrogative survey for the next frontiers F Hohman, M Kahng, R Pienta, DH Chau IEEE transactions on visualization and computer graphics 25 (8), 2674-2693, 2018 | 348 | 2018 |
| ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models M Kahng, PY Andrews, A Kalro, DH Chau IEEE transactions on visualization and computer graphics 24 (1), 88-97, 2018 | 257 | 2018 |
| Polonium: Tera-Scale Graph Mining and Inference for Malware Detection DH Chau, C Nachenberg, J Wilhelm, A Wright, C Faloutsos SIAM International Conference on Data Mining (SDM) 2011 25, 131-142, 2011 | 214 | 2011 |
| A linguistic analysis of how people describe software problems AJ Ko, BA Myers, DH Chau Visual Languages and Human-Centric Computing (VL/HCC'06), 127-134, 2006 | 200 | 2006 |
| Shapeshifter: Robust physical adversarial attack on faster r-cnn object detector ST Chen, C Cornelius, J Martin, DHP Chau Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018 | 196 | 2018 |
| Detecting fraudulent personalities in networks of online auctioneers DH Chau, S Pandit, C Faloutsos European conference on principles of data mining and knowledge discovery …, 2006 | 196 | 2006 |
| Apolo: making sense of large network data by combining rich user interaction and machine learning DH Chau, A Kittur, JI Hong, C Faloutsos Proceedings of the SIGCHI conference on human factors in computing systems …, 2011 | 191 | 2011 |
| Parallel crawling for online social networks DH Chau, S Pandit, S Wang, C Faloutsos Proceedings of the 16th international conference on World Wide Web, 1283-1284, 2007 | 191 | 2007 |
| 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 | 180 | 2017 |
| On the vulnerability of large graphs H Tong, BA Prakash, C Tsourakakis, T Eliassi-Rad, C Faloutsos, ... 2010 IEEE International Conference on Data Mining, 1091-1096, 2010 | 154 | 2010 |
| Guilt by association: large scale malware detection by mining file-relation graphs A Tamersoy, K Roundy, DH Chau Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 151 | 2014 |
| Detecting insider threats in a real corporate database of computer usage activity TE Senator, HG Goldberg, A Memory, WT Young, B Rees, R Pierce, ... Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 134 | 2013 |
| Unifying guilt-by-association approaches: Theorems and fast algorithms D Koutra, TY Ke, U Kang, DHP Chau, HKK Pao, C Faloutsos Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011 | 127 | 2011 |
| 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 | 118 | 2018 |
| Gan lab: Understanding complex deep generative models using interactive visual experimentation M Kahng, N Thorat, DH Chau, FB Viégas, M Wattenberg IEEE transactions on visualization and computer graphics 25 (1), 310-320, 2018 | 99 | 2018 |
| Answering why and why not questions in user interfaces BA Myers, DA Weitzman, AJ Ko, DH Chau Proceedings of the SIGCHI conference on Human Factors in computing systems …, 2006 | 99 | 2006 |
| What to do when search fails: finding information by association DH Chau, B Myers, A Faulring Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2008 | 95 | 2008 |
| Huddle: automatically generating interfaces for systems of multiple connected appliances J Nichols, B Rothrock, DH Chau, BA Myers Proceedings of the 19th annual ACM symposium on User interface software and …, 2006 | 85 | 2006 |
| Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations F Hohman, H Park, C Robinson, DHP Chau IEEE transactions on visualization and computer graphics 26 (1), 1096-1106, 2019 | 84 | 2019 |
Christos FaloutsosCMUEmail verificata su cs.cmu.edu
