Scott Freitas

According to our database, Scott Freitas authored at least 19 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Graph Vulnerability and Robustness: A Survey.

Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau

IEEE Trans. Knowl. Data Eng., June, 2023

2022

Developing Robust Models, Algorithms, Databases and Tools With Applications to Cybersecurity and Healthcare.

Scott Freitas

PhD thesis, 2022

MalNet: A Large-Scale Image Database of Malicious Software.

Scott Freitas, Rahul Duggal, Duen Horng Chau

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software.

Scott Freitas, Rahul Duggal, Duen Horng Chau

CoRR, 2021

A Large-Scale Database for Graph Representation Learning.

Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng Chau

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Evaluating Graph Vulnerability and Robustness using TIGER.

Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models.

Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

HAR: Hardness Aware Reweighting for Imbalanced Datasets.

Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

ELF: An Early-Exiting Framework for Long-Tailed Classification.

Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun

CoRR, 2020

Evaluating Graph Vulnerability and Robustness using TIGER.

Scott Freitas, Duen Horng Chau

CoRR, 2020

D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks.

Scott Freitas, Andrew Wicker, Duen Horng Chau, Joshua Neil

CoRR, 2020

REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild.

Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

D²M: Dynamic Defense and Modeling of Adversarial Movement in Networks.

Scott Freitas, Andrew Wicker, Duen Horng (Polo) Chau, Joshua Neil

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers.

Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

UnMask: Adversarial Detection and Defense Through Robust Feature Alignment.

Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng Chau

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018

Local Partition in Rich Graphs.

Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia

CoRR, 2018

X-Rank: Explainable Ranking in Complex Multi-Layered Networks.

Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Local Partition in Rich Graphs.

Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng (Polo) Chau, Hanghang Tong

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Rapid Analysis of Network Connectivity.

Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017