Scott Freitas
Scott Freitas
Senior Applied Scientist, Microsoft
Verified email at - Homepage
Cited by
Cited by
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
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
A large-scale database for graph representation learning
S Freitas, Y Dong, J Neil, DH Chau
Proceedings of NeurIPS 2021 Datasets and Benchmarks, 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
Malnet: A large-scale cybersecurity image database of malicious software
S Freitas, R Duggal, DH Chau
arXiv preprint arXiv:2102.01072, 2021
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
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
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
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
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
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
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
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
Exploration of DQN in ViZDoom
S Freitas, A Dudley, S Gopalakrishnan, J Feinglass, B Clayton
Developing Robust Models, Algorithms, Databases and Tools With Applications to Cybersecurity and Healthcare
S Freitas
Georgia Institute of Technology, 2021
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
Extracting Knowledge For Adversarial Detection and Defense in Deep Learning
S Freitas, ST Chen, DHP Chau
Mining Marked Nodes in Large Graphs
S Freitas
Arizona State University, 2018
Linear Electromagnetic Accelerator
G Scarborough, S Freitas, G Wells, B Deal, J Aberle, M Kozicki
A Large-Scale Image Database of Malicious Software
S Freitas, R Duggal, DH Chau
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