Saswat Das

202320241 1

Ferdinando FiorettoUniversity of VirginiaVerified email at virginia.edu
Keyu ZhuGeorgia Institute of TechnologyVerified email at gatech.edu
Pascal Van HentenryckGeorgia Institute of TechnologyVerified email at isye.gatech.edu
Christine TaskKnexus Research CorporationVerified email at knexusresearch.com
Subhankar MishraNational Institute of Science Education and ResearchVerified email at niser.ac.in
Marco RomanelliResearch Associate, New York University Tandon School of Engineering, ECEVerified email at nyu.edu
Rakshit NaiduGeorgia Institute of Technology, Carnegie Mellon UniversityVerified email at gatech.edu

Saswat Das

Verified email at virginia.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Advances in Differential Privacy and Differentially Private Machine Learning S Das, S Mishra Information Technology Security: Modern Trends and Challenges, 147-188, 2024	1	2024
Privacy and bias analysis of disclosure avoidance systems K Zhu, F Fioretto, P Van Hentenryck, S Das, C Task arXiv preprint arXiv:2301.12204, 2023	1	2023
Disparate Impact on Group Accuracy of Linearization for Private Inference S Das, M Romanelli, F Fioretto International Conference on Machine Learning (ICML) 2024, 2024		2024
Finding ε and δ of Traditional Disclosure Control Systems S Das, K Zhu, C Task, P Van Hentenryck, F Fioretto Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22013 …, 2024		2024
Fair Context-Aware Privacy Threat Modelling S Das, R Naidu arXiv preprint arXiv:2207.09750, 2022		2022

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