Saswat Das

Saswat Das

PhD Student in Computer Science

SEAS, University of Virginia

About Me

I am a PhD student at the Department of Computer Science of the University of Virginia (UVA). I am fortunate to be advised by Dr. Ferdinando Fioretto as a member of the RAISE Group at UVA. My research interests are broadly situated within the fascinating area of trustworthy/responsible AI; more precisely, these include differential privacy, algorithmic fairness, adversarial robustness. I am also interested in cryptography and topics related to security.

Prior to this, I pursued an Integrated M.Sc. (BS+MS) degree at the National Institute of Science Education and Research (NISER), an off-campus centre of Homi Bhabha National Institute, India, with a major in Mathematics and a minor in Computer Science. I also was a student researcher at the School of Computer Sciences at NISER (2021-2023).

Reach out to me anytime for discussing ideas, regarding opportunities and to give talks on my research. I’m open to research internship opportunities for the Summer of 2024 and collaborations in general!

Interests
  • Differential Privacy
  • Privacy-Preserving and Fair Machine Learning
  • Trustworthy AI
  • Cryptography/Security
Education
  • PhD (Computer Science), 2023 - Present

    SEAS, University of Virginia

  • Integrated M.Sc. (BS+MS) (Mathematics Major and Computer Science Minor), 2018 - 23

    National Institute of Science Education and Research, HBNI

Recent News

All news»

Jan 2024: New preprint on the “Disparate Impact on Group Accuracy of Linearization for Private Inference” out on ArXiV.

Dec 2023: Accepted to the AAAI-24 Student Scholarship Program and got offered a grant for attending AAAI-24. Thanks, AAAI!

Dec 2023: I will deliver a student talk at the NIST CRC Workshop on the privacy and fairness of Census data releases.

Dec 2023: Paper on “Finding ε and δ of Traditional Disclosure Control Systems” accepted to AAAI-24!

Dec 2023: Paper titled “Examining Deidentified Data Quality using NIST Datasets and Tools” accepted to the NIST CRC Workshop 2023 (non-archival).

Experience

 
 
 
 
 
SEAS, University of Virginia
PhD Student
Aug 2023 – Present Charlottesville, VA, USA
 
 
 
 
 
EECS, Syracuse University
Visiting Research Scholar/Collaborator
Jun 2022 – May 2023 Syracuse, NY, USA
 
 
 
 
 
SM Lab, NISER, HBNI
Student Researcher
Mar 2021 – May 2023 Odisha, IN
 
 
 
 
 
Stanford University
Section Leader, CodeInPlace
Stanford University
Apr 2021 – May 2020
 
 
 
 
 
Technion - Israel Institute of Technology
Attendee, Summer School on Computer & Cyber Security
Technion - Israel Institute of Technology
Sep 2020 – Sep 2020
 
 
 
 
 
School of Computer Sciences, NISER, HBNI
Winter Intern
School of Computer Sciences, NISER, HBNI
Dec 2019 – Jan 2020 Odisha, IN
 
 
 
 
 
School of Computer Sciences, NISER, HBNI
Summer Intern
School of Computer Sciences, NISER, HBNI
May 2019 – Jul 2019 Odisha, IN

Articles, Book Chapters, and Publications

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(2024). Disparate Impact on Group Accuracy of Linearization for Private Inference. ArXiV.

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(2023). Finding ε and δ of Statistical Disclosure Control Systems. AAAI-24.

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(2023). Advances in Differential Privacy and Differentially Private Machine Learning - A Survey. In Information Technology Security (Springer Nature).

(2022). Fair Context-Aware Privacy Threat Modelling. In WPTM 2022, USENIX.

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