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
Scott Freitas
Senior Applied Data Scientist
论文与出版物
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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
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Evaluating Graph Vulnerability and Robustness using TIGER
Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng (Polo) Chau
2021 Conference on Information and Knowledge Management | October 2021
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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
2021 Human Factors in Computing Systems | May 2021
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D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks
Scott Freitas, Andrew Wicker, Duen Horng (Polo) Chau, Joshua Neil
2020 SIAM International Conference on Data Mining | December 2020
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UnMask: Adversarial Detection and Defense Through Robust Feature Alignment
Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng (Polo) Chau
2020 International Conference on Big Data | December 2020
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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
2020 Conference on Information and Knowledge Management | October 2020
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REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng (Polo) Chau, Jimeng Sun
2020 The Web Conference | April 2020
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Local Partition in Rich Graphs
Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng Polo Chau, Hanghang Tong
2018 International Conference on Big Data | November 2018
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X-Rank: Explainable Ranking in Complex Multi-Layered Networks
Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong
2018 Conference on Information and Knowledge Management | October 2018
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Rapid Analysis of Network Connectivity
Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia
2017 Conference on Information and Knowledge Management | November 2017
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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
-
Evaluating Graph Vulnerability and Robustness using TIGER
Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng (Polo) Chau
2021 Conference on Information and Knowledge Management | October 2021
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Local Partition in Rich Graphs
Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng Polo Chau, Hanghang Tong
2018 International Conference on Big Data | November 2018
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X-Rank: Explainable Ranking in Complex Multi-Layered Networks
Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong
2018 Conference on Information and Knowledge Management | October 2018
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Rapid Analysis of Network Connectivity
Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia
2017 Conference on Information and Knowledge Management | November 2017
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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
-
Local Partition in Rich Graphs
Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng Polo Chau, Hanghang Tong
2018 International Conference on Big Data | November 2018
-
X-Rank: Explainable Ranking in Complex Multi-Layered Networks
Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong
2018 Conference on Information and Knowledge Management | October 2018
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Rapid Analysis of Network Connectivity
Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia
2017 Conference on Information and Knowledge Management | November 2017
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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
-
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
-
Evaluating Graph Vulnerability and Robustness using TIGER
Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng (Polo) Chau
2021 Conference on Information and Knowledge Management | October 2021
-
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
2021 Human Factors in Computing Systems | May 2021
-
D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks
Scott Freitas, Andrew Wicker, Duen Horng (Polo) Chau, Joshua Neil
2020 SIAM International Conference on Data Mining | December 2020
-
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment
Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng (Polo) Chau
2020 International Conference on Big Data | December 2020
-
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng (Polo) Chau, Jimeng Sun
2020 The Web Conference | April 2020
-
X-Rank: Explainable Ranking in Complex Multi-Layered Networks
Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong
2018 Conference on Information and Knowledge Management | October 2018
-
-
-
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment
Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng (Polo) Chau
2020 International Conference on Big Data | December 2020
-
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng (Polo) Chau, Jimeng Sun
2020 The Web Conference | April 2020
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REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng (Polo) Chau, Jimeng Sun
2020 The Web Conference | April 2020
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-
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
2021 Human Factors in Computing Systems | May 2021
-
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
2020 Conference on Information and Knowledge Management | October 2020
-
-
-
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
-
Evaluating Graph Vulnerability and Robustness using TIGER
Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng (Polo) Chau
2021 Conference on Information and Knowledge Management | October 2021
-
D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks
Scott Freitas, Andrew Wicker, Duen Horng (Polo) Chau, Joshua Neil
2020 SIAM International Conference on Data Mining | December 2020
-
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment
Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng (Polo) Chau
2020 International Conference on Big Data | December 2020
-
-
-
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
2021 Human Factors in Computing Systems | May 2021
-
-
-
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
-
Evaluating Graph Vulnerability and Robustness using TIGER
Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng (Polo) Chau
2021 Conference on Information and Knowledge Management | October 2021
-
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
2021 Human Factors in Computing Systems | May 2021
-
D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks
Scott Freitas, Andrew Wicker, Duen Horng (Polo) Chau, Joshua Neil
2020 SIAM International Conference on Data Mining | December 2020
-
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment
Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng (Polo) Chau
2020 International Conference on Big Data | December 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 (Polo) Chau
2020 Conference on Information and Knowledge Management | October 2020
-
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng (Polo) Chau, Jimeng Sun
2020 The Web Conference | April 2020
-
Local Partition in Rich Graphs
Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng Polo Chau, Hanghang Tong
2018 International Conference on Big Data | November 2018
-
X-Rank: Explainable Ranking in Complex Multi-Layered Networks
Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong
2018 Conference on Information and Knowledge Management | October 2018
-
Rapid Analysis of Network Connectivity
Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia
2017 Conference on Information and Knowledge Management | November 2017
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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
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