Scott Freitas

Senior Applied Data Scientist

Publications

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- Graph Vulnerability and Robustness: A Survey
  
  Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng (Polo) Chau
  
  Transactions on Knowledge and Data Engineering (TKDE) | April 2022
  
  Preprint
- A Large-Scale Database for Graph Representation Learning
  
  Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng (Polo) Chau
  
  NeurIPS Datasets and Benchmarks Track | November 2021
  
  Publication
- Evaluating Graph Vulnerability and Robustness using TIGER
  
  Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng (Polo) Chau
  
  Conference on Information and Knowledge Management | October 2021
  
  DOI
- EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models
  
  Omar Shaikh, Jon Saad-Falcon, Austin P Wright, Nilaksh Das, Scott Freitas, Omar Asensio, Duen Horng (Polo) Chau
  
  Human Factors in Computing Systems | May 2021
  
  DOI Publication Publication Publication Publication
- D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks
  
  Scott Freitas, Andrew Wicker, Duen Horng (Polo) Chau, Joshua Neil
  
  SIAM International Conference on Data Mining | December 2020
  
  Publication Publication
- UnMask: Adversarial Detection and Defense Through Robust Feature Alignment
  
  Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng (Polo) Chau
  
  International Conference on Big Data | December 2020
  
  DOI Publication
- 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 (Polo) Chau
  
  Conference on Information and Knowledge Management | October 2020
  
  DOI Publication Publication
- REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
  
  Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng (Polo) Chau, Jimeng Sun
  
  The Web Conference | April 2020
  
  DOI PDF Publication
- Local Partition in Rich Graphs
  
  Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng Polo Chau, Hanghang Tong
  
  International Conference on Big Data | November 2018
  
  DOI Publication Publication Publication Publication
- X-Rank: Explainable Ranking in Complex Multi-Layered Networks
  
  Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong
  
  Conference on Information and Knowledge Management | October 2018
  
  DOI PDF Publication Publication
- Rapid Analysis of Network Connectivity
  
  Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia
  
  Conference on Information and Knowledge Management | November 2017
  
  DOI PDF Publication Publication

- Graph Vulnerability and Robustness: A Survey
  
  Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng (Polo) Chau
  
  Transactions on Knowledge and Data Engineering (TKDE) | April 2022
  
  Preprint
- Evaluating Graph Vulnerability and Robustness using TIGER
  
  Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng (Polo) Chau
  
  Conference on Information and Knowledge Management | October 2021
  
  DOI
- Local Partition in Rich Graphs
  
  Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng Polo Chau, Hanghang Tong
  
  International Conference on Big Data | November 2018
  
  DOI Publication Publication Publication Publication
- X-Rank: Explainable Ranking in Complex Multi-Layered Networks
  
  Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong
  
  Conference on Information and Knowledge Management | October 2018
  
  DOI PDF Publication Publication
- Rapid Analysis of Network Connectivity
  
  Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia
  
  Conference on Information and Knowledge Management | November 2017
  
  DOI PDF Publication Publication
- Graph Vulnerability and Robustness: A Survey
  
  Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng (Polo) Chau
  
  Transactions on Knowledge and Data Engineering (TKDE) | April 2022
  
  Preprint
- Local Partition in Rich Graphs
  
  Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng Polo Chau, Hanghang Tong
  
  International Conference on Big Data | November 2018
  
  DOI Publication Publication Publication Publication
- X-Rank: Explainable Ranking in Complex Multi-Layered Networks
  
  Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong
  
  Conference on Information and Knowledge Management | October 2018
  
  DOI PDF Publication Publication
- Rapid Analysis of Network Connectivity
  
  Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia
  
  Conference on Information and Knowledge Management | November 2017
  
  DOI PDF Publication Publication
- Graph Vulnerability and Robustness: A Survey
  
  Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng (Polo) Chau
  
  Transactions on Knowledge and Data Engineering (TKDE) | April 2022
  
  Preprint
- A Large-Scale Database for Graph Representation Learning
  
  Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng (Polo) Chau
  
  NeurIPS Datasets and Benchmarks Track | November 2021
  
  Publication
- Evaluating Graph Vulnerability and Robustness using TIGER
  
  Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng (Polo) Chau
  
  Conference on Information and Knowledge Management | October 2021
  
  DOI
- EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models
  
  Omar Shaikh, Jon Saad-Falcon, Austin P Wright, Nilaksh Das, Scott Freitas, Omar Asensio, Duen Horng (Polo) Chau
  
  Human Factors in Computing Systems | May 2021
  
  DOI Publication Publication Publication Publication
- D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks
  
  Scott Freitas, Andrew Wicker, Duen Horng (Polo) Chau, Joshua Neil
  
  SIAM International Conference on Data Mining | December 2020
  
  Publication Publication
- UnMask: Adversarial Detection and Defense Through Robust Feature Alignment
  
  Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng (Polo) Chau
  
  International Conference on Big Data | December 2020
  
  DOI Publication
- REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
  
  Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng (Polo) Chau, Jimeng Sun
  
  The Web Conference | April 2020
  
  DOI PDF Publication
- X-Rank: Explainable Ranking in Complex Multi-Layered Networks
  
  Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong
  
  Conference on Information and Knowledge Management | October 2018
  
  DOI PDF Publication Publication
- UnMask: Adversarial Detection and Defense Through Robust Feature Alignment
  
  Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng (Polo) Chau
  
  International Conference on Big Data | December 2020
  
  DOI Publication
- REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
  
  Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng (Polo) Chau, Jimeng Sun
  
  The Web Conference | April 2020
  
  DOI PDF Publication
- REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
  
  Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng (Polo) Chau, Jimeng Sun
  
  The Web Conference | April 2020
  
  DOI PDF Publication
- EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models
  
  Omar Shaikh, Jon Saad-Falcon, Austin P Wright, Nilaksh Das, Scott Freitas, Omar Asensio, Duen Horng (Polo) Chau
  
  Human Factors in Computing Systems | May 2021
  
  DOI Publication Publication Publication Publication
- 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 (Polo) Chau
  
  Conference on Information and Knowledge Management | October 2020
  
  DOI Publication Publication
- A Large-Scale Database for Graph Representation Learning
  
  Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng (Polo) Chau
  
  NeurIPS Datasets and Benchmarks Track | November 2021
  
  Publication
- Evaluating Graph Vulnerability and Robustness using TIGER
  
  Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng (Polo) Chau
  
  Conference on Information and Knowledge Management | October 2021
  
  DOI
- D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks
  
  Scott Freitas, Andrew Wicker, Duen Horng (Polo) Chau, Joshua Neil
  
  SIAM International Conference on Data Mining | December 2020
  
  Publication Publication
- UnMask: Adversarial Detection and Defense Through Robust Feature Alignment
  
  Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng (Polo) Chau
  
  International Conference on Big Data | December 2020
  
  DOI Publication
- EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models
  
  Omar Shaikh, Jon Saad-Falcon, Austin P Wright, Nilaksh Das, Scott Freitas, Omar Asensio, Duen Horng (Polo) Chau
  
  Human Factors in Computing Systems | May 2021
  
  DOI Publication Publication Publication Publication

- A Large-Scale Database for Graph Representation Learning
  
  Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng (Polo) Chau
  
  NeurIPS Datasets and Benchmarks Track | November 2021
  
  Publication
- Evaluating Graph Vulnerability and Robustness using TIGER
  
  Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng (Polo) Chau
  
  Conference on Information and Knowledge Management | October 2021
  
  DOI
- EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models
  
  Omar Shaikh, Jon Saad-Falcon, Austin P Wright, Nilaksh Das, Scott Freitas, Omar Asensio, Duen Horng (Polo) Chau
  
  Human Factors in Computing Systems | May 2021
  
  DOI Publication Publication Publication Publication
- D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks
  
  Scott Freitas, Andrew Wicker, Duen Horng (Polo) Chau, Joshua Neil
  
  SIAM International Conference on Data Mining | December 2020
  
  Publication Publication
- UnMask: Adversarial Detection and Defense Through Robust Feature Alignment
  
  Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng (Polo) Chau
  
  International Conference on Big Data | December 2020
  
  DOI Publication
- 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 (Polo) Chau
  
  Conference on Information and Knowledge Management | October 2020
  
  DOI Publication Publication
- REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
  
  Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng (Polo) Chau, Jimeng Sun
  
  The Web Conference | April 2020
  
  DOI PDF Publication
- Local Partition in Rich Graphs
  
  Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng Polo Chau, Hanghang Tong
  
  International Conference on Big Data | November 2018
  
  DOI Publication Publication Publication Publication
- X-Rank: Explainable Ranking in Complex Multi-Layered Networks
  
  Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong
  
  Conference on Information and Knowledge Management | October 2018
  
  DOI PDF Publication Publication
- Rapid Analysis of Network Connectivity
  
  Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia
  
  Conference on Information and Knowledge Management | November 2017
  
  DOI PDF Publication Publication
- Graph Vulnerability and Robustness: A Survey
  
  Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng (Polo) Chau
  
  Transactions on Knowledge and Data Engineering (TKDE) | April 2022
  
  Preprint

Scott Freitas

Publications

Graph Vulnerability and Robustness: A Survey

A Large-Scale Database for Graph Representation Learning

Evaluating Graph Vulnerability and Robustness using TIGER

EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models

D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks

UnMask: Adversarial Detection and Defense Through Robust Feature Alignment

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

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

Local Partition in Rich Graphs

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

Rapid Analysis of Network Connectivity

Graph Vulnerability and Robustness: A Survey

Evaluating Graph Vulnerability and Robustness using TIGER

Local Partition in Rich Graphs

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

Rapid Analysis of Network Connectivity

Graph Vulnerability and Robustness: A Survey

Local Partition in Rich Graphs

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

Rapid Analysis of Network Connectivity

Graph Vulnerability and Robustness: A Survey

A Large-Scale Database for Graph Representation Learning

Evaluating Graph Vulnerability and Robustness using TIGER

EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models

D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks

UnMask: Adversarial Detection and Defense Through Robust Feature Alignment

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

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

UnMask: Adversarial Detection and Defense Through Robust Feature Alignment

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

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

EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models

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

A Large-Scale Database for Graph Representation Learning

Evaluating Graph Vulnerability and Robustness using TIGER

D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks

UnMask: Adversarial Detection and Defense Through Robust Feature Alignment

EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models

A Large-Scale Database for Graph Representation Learning

Evaluating Graph Vulnerability and Robustness using TIGER

EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models

D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks

UnMask: Adversarial Detection and Defense Through Robust Feature Alignment

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

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

Local Partition in Rich Graphs

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

Rapid Analysis of Network Connectivity

Graph Vulnerability and Robustness: A Survey