| Graph Vulnerability and Robustness: A Survey S Freitas, D Yang, S Kumar, H Tong, DH Chau IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 | 74 | 2022 |
| A large-scale database for graph representation learning S Freitas, Y Dong, J Neil, DH Chau Proceedings of NeurIPS 2021 Datasets and Benchmarks, 2021 | 46 | 2021 |
| Elf: An early-exiting framework for long-tailed classification R Duggal, S Freitas, S Dhamnani, DH Chau, J Sun arXiv preprint arXiv:2006.11979, 2020 | 36 | 2020 |
| Malnet: A large-scale cybersecurity image database of malicious software S Freitas, R Duggal, DH Chau Proceedings of the 2022 ACM International Conference on Information …, 2022 | 35 | 2022 |
| Unmask: Adversarial detection and defense through robust feature alignment S Freitas, ST Chen, Z Wang, DH Chau 2020 IEEE International Conference on Big Data (Big Data), 2020 | 26 | 2020 |
| REST: Robust and efficient neural networks for sleep monitoring in the wild R Duggal, S Freitas, C Xiao, DH Chau, J Sun Proceedings of The Web Conference 2020, 1704-1714, 2020 | 23 | 2020 |
| D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks S Freitas, A Wicker, DH Chau, J Neil Proceedings of the 2020 SIAM International Conference on Data Mining, 541-549, 2020 | 21 | 2020 |
| Evaluating graph vulnerability and robustness using TIGER S Freitas, D Yang, S Kumar, DH Chau Proceedings of the 2021 ACM International Conference on Information …, 2021 | 17 | 2021 |
| X-rank: Explainable ranking in complex multi-layered networks J Kang, S Freitas, H Yu, Y Xia, N Cao, H Tong Proceedings of the 27th ACM International Conference on Information and …, 2018 | 12 | 2018 |
| Har: Hardness aware reweighting for imbalanced datasets R Duggal, S Freitas, S Dhamnani, DH Chau, J Sun 2021 IEEE International Conference on Big Data (Big Data), 735-745, 2021 | 11 | 2021 |
| Local partition in rich graphs S Freitas, N Cao, Y Xia, DHP Chau, H Tong 2018 IEEE International Conference on Big Data (Big Data), 1001-1008, 2018 | 10 | 2018 |
| Argo lite: Open-source interactive graph exploration and visualization in browsers S Li, Z Zhou, A Upadhayay, O Shaikh, S Freitas, H Park, ZJ Wang, ... Proceedings of the 29th ACM International Conference on Information …, 2020 | 9 | 2020 |
| EnergyVis: interactively tracking and exploring energy consumption for ML models O Shaikh, J Saad-Falcon, AP Wright, N Das, S Freitas, O Asensio, ... Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing …, 2021 | 6 | 2021 |
| Rapid analysis of network connectivity S Freitas, H Tong, N Cao, Y Xia Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 6 | 2017 |
| Exploration of DQN in ViZDoom S Freitas, A Dudley, S Gopalakrishnan, J Feinglass, B Clayton | 1 | 2018 |
| GraphWeaver: Billion-Scale Cybersecurity Incident Correlation S Freitas, A Gharib arXiv preprint arXiv:2406.01842, 2024 | | 2024 |
| Developing Robust Models, Algorithms, Databases and Tools With Applications to Cybersecurity and Healthcare S Freitas Georgia Institute of Technology, 2021 | | 2021 |
| Extracting Knowledge For Adversarial Detection and Defense in Deep Learning S Freitas, ST Chen, DHP Chau | | 2019 |
| Mining Marked Nodes in Large Graphs S Freitas Arizona State University, 2018 | | 2018 |
| Linear Electromagnetic Accelerator G Scarborough, S Freitas, G Wells, B Deal, J Aberle, M Kozicki | | 2014 |
Duen Horng ChauAssociate Professor, Georgia Institute of Technology在 gatech.edu 的电子邮件经过验证
