My Research
Securely Generating Synthetic Genomic Data from Distributed Data Silos
T. Claar, S. Golob, S. Pentyala, G. Sitaraman, M. De Cock, J. Banerjee, L. Foschini. Securely Generating Synthetic Genomic Data from Distributed Data Silos. In: 11th International Workshop on Genome Privacy and Security (GenoPri'24), 2024.
Privacy Vulnerabilities in Marginals-based Synthetic Data
S. Golob, S. Pentyala, A. Maratkhan, M. De Cock. Privacy Vulnerabilities in Marginals-based Synthetic Data, under review, 2024.
Examining Health Equity Bias in Synthetic Data Generation Techniques
S. Golob. Extended Abstract and Poster presentation for the AIM-AHEAD All of Us Training Program and AIHES Annual meeting in Atlanta, GA, 2024.
High Epsilon Synthetic Data Vulnerabilities in MST and PrivBayes
S. Golob, S. Pentyala, A. Maratkhan, M. De Cock. High Epsilon Synthetic Data Vulnerabilities in MST and PrivBayes. In: AAAI-24 Workshop on Privacy-Preserving Artificial Intelligence, 2024. Found here
Privacy-Preserving Feature Extraction for Federated Anomaly Detection
J. Vos, S. Pentyala, S. Golob, R. Maia, C. Martins, M. De Cock, A. Nascimento. Privacy-Preserving Feature Extraction for Federated Anomaly Detection. In: Proceedings on Privacy Enhancing Technologies (PoPETS), 2024. Found here
A Decentralized Information Marketplace Preserving Input and Output Privacy
S. Golob, S. Pentyala, R. Dowsley, B. David, M. Larangeira, M. De Cock, A. Nascimento. A Decentralized Information Marketplace Preserving Input and Output Privacy. In: Proceedings of the 2nd SIGMOD Data Economy Workshop, 2023. Found here
Competitions
2023 iDASH Secure Genome Analysis Competition
Track 1: Secure relative detection in forensic databases using homomorphic encryption. Found here
SNAKE Challenge
(SaNitization Algorithm under attacK ...ε)
Found here
First Place!
Final Leaderboard
U.S. PETs (Privacy Enhancing Technologies) Prize
Hosted by the White House. Won 2nd Place. March 2023. Found here
AdKDD Competition
Relational data click-through predictions. 2021.
UW Computational Worlds Best Video Game
Won 3rd Place with side-scrolling video game "Zerlin." 2019.
ACM International Collegiate Programming Competition
Site Winner, division 2. 2018.
Service
Journal of Emerging Investigators
Volunteer Reviewer. July 2023 - present. Found here
UW Tacoma Computer Science Faculty Council
Graduate Student Representative. September 2022 - June 2023.
UW Tacoma Computer Science Faculty Council
Student Representative. September 2018 - June 2019.
Mathematics Tutor
Oakland High School in Tacoma, WA. Communities in Schools program, 2018.
Awards
Distinguished Thesis Award
UW Distinguished Thesis Award in Mathematics, Physical Sciences and Engineering, 2024 Found here
AIM-AHEAD All of Us Training Program
Part of the National Institute of Health (NIH), 2024. Found here
Best Poster Award
Research Symposium School of Engineering and Technology, UW Tacoma, 2024.
PPAI Travel Award
Financial award to travel to attend the AAAI Privacy-Preserving Artificial Intelligence Workshop, 2024.
Carwein-Andrews Distinguished Fellowship
School of Engineering and Technology, UW Tacoma. 2023-2024. Here's a good article written about this.
CSGrad4US Fellowship
First Cohort (2021).
Graduate Merit Scholarship
School of Engineering and Technology, UW Tacoma. 2023-2024.
Outstanding Graduate Research Award
School of Engineering and Technology, UW Tacoma. 2022-2023.
Andrew and Julie Fry Innovation Award
School of Engineering and Technology, UW Tacoma. 2022-2023.
2nd prize for the U.S. PETs Prize Challenge
March 2023.
About Me
Steven is a lifelong student of mathematics and computer science. Having spent time at the Boeing Company as a software engineer, working on the flight simulator, he is now in the PhD program at the University of Washington Tacoma, studying with Martine De Cock. There, he was the lead of a team that won 1st place in the SNAKE challenge on privacy attacks against synthetic data. He is also the recipient of the SET Outstanding Graduate Research Award (2023) and the Andrew and Julie Fry Innovation Award (2023) for his contributions to the solution with which his research team won 2nd place in the NSF-hosted U.S.-U.K. PETs Prize Challenge 2023. His research interest is in privacy-preserving machine learning (PPML) and fair AI, critical fields that address the widespread concerns of handling personal data securely and equitably. Steven sees research in PPML as a way to contribute meaningfully toward technologies that have huge impacts in people's. At the same time, working in academia will allow him to fuel his passion for helping and mentoring his fellow computer science students.
