Scott Freitas

Orcid: 0000-0002-3263-3641

According to our database1, Scott Freitas authored at least 21 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
AI-Driven Guided Response for Security Operation Centers with Microsoft Copilot for Security.
CoRR, 2024

GraphWeaver: Billion-Scale Cybersecurity Incident Correlation.
CoRR, 2024

2023
Graph Vulnerability and Robustness: A Survey.
IEEE Trans. Knowl. Data Eng., June, 2023

2022
Developing Robust Models, Algorithms, Databases and Tools With Applications to Cybersecurity and Healthcare.
PhD thesis, 2022

MalNet: A Large-Scale Image Database of Malicious Software.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software.
CoRR, 2021

A Large-Scale Database for Graph Representation Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Evaluating Graph Vulnerability and Robustness using TIGER.
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.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

HAR: Hardness Aware Reweighting for Imbalanced Datasets.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
ELF: An Early-Exiting Framework for Long-Tailed Classification.
CoRR, 2020

Evaluating Graph Vulnerability and Robustness using TIGER.
CoRR, 2020

D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks.
CoRR, 2020

REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

D<sup>2</sup>M: Dynamic Defense and Modeling of Adversarial Movement in Networks.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers.
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.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018
Local Partition in Rich Graphs.
CoRR, 2018

X-Rank: Explainable Ranking in Complex Multi-Layered Networks.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Local Partition in Rich Graphs.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Rapid Analysis of Network Connectivity.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017


  Loading...