Rapid Analysis of Network Connectivity. - Scott Freitas; Hanghang Tong; Nan Cao 001; Yinglong Xia (CIKM, 2017)

Local Partition in Rich Graphs. - Scott Freitas; Nan Cao 001; Yinglong Xia; Duen Horng (Polo) Chau; Hanghang Tong (IEEE BigData, 2018)

X-Rank: Explainable Ranking in Complex Multi-Layered Networks. - Jian Kang 008; Scott Freitas; Haichao Yu; Yinglong Xia; Nan Cao 001; Hanghang Tong (CIKM, 2018)

Local Partition in Rich Graphs. - Scott Freitas; Hanghang Tong; Nan Cao 001; Yinglong Xia (CoRR, 2018)

UnMask: Adversarial Detection and Defense Through Robust Feature Alignment. - Scott Freitas; Shang-Tse Chen; Zijie J. Wang; Duen Horng Chau (IEEE BigData, 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 (CIKM, 2020)

D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks. - Scott Freitas; Andrew Wicker; Duen Horng (Polo) Chau; Joshua Neil (SDM, 2020)

REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. - Rahul Duggal; Scott Freitas; Cao Xiao; Duen Horng Chau; Jimeng Sun 001 (WWW, 2020)

D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks. - Scott Freitas; Andrew Wicker; Duen Horng Chau; Joshua Neil (CoRR, 2020)

Evaluating Graph Vulnerability and Robustness using TIGER. - Scott Freitas; Duen Horng Chau (CoRR, 2020)

ELF: An Early-Exiting Framework for Long-Tailed Classification. - Rahul Duggal; Scott Freitas; Sunny Dhamnani; Duen Horng Chau; Jimeng Sun 001 (CoRR, 2020)

HAR: Hardness Aware Reweighting for Imbalanced Datasets. - Rahul Duggal; Scott Freitas; Sunny Dhamnani; Duen Horng Chau; Jimeng Sun 001 (IEEE BigData, 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 (CHI Extended Abstracts, 2021)

Evaluating Graph Vulnerability and Robustness using TIGER. - Scott Freitas; Diyi Yang; Srijan Kumar; Hanghang Tong; Duen Horng Chau (CIKM, 2021)

A Large-Scale Database for Graph Representation Learning. - Scott Freitas; Yuxiao Dong; Joshua Neil; Duen Horng Chau (NeurIPS Datasets and Benchmarks, 2021)

MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software. - Scott Freitas; Rahul Duggal; Duen Horng Chau (CoRR, 2021)

MalNet: A Large-Scale Image Database of Malicious Software. - Scott Freitas; Rahul Duggal; Duen Horng Chau (CIKM, 2022)

Developing Robust Models, Algorithms, Databases and Tools With Applications to Cybersecurity and Healthcare. - Scott Freitas (2022)

Graph Vulnerability and Robustness: A Survey. - Scott Freitas; Diyi Yang; Srijan Kumar; Hanghang Tong; Duen Horng Chau (IEEE Trans. Knowl. Data Eng., 2023)

GraphWeaver: Billion-Scale Cybersecurity Incident Correlation. - Scott Freitas; Amir Gharib (CIKM, 2024)

Web Scale Graph Mining for Cyber Threat Intelligence. - Scott Freitas; Amir Gharib (CoRR, 2024)

AI-Driven Guided Response for Security Operation Centers with Microsoft Copilot for Security. - Scott Freitas; Jovan Kalajdjieski; Amir Gharib; Robert McCann (WWW (Companion Volume), 2025)