My Research
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, under review, 2023
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. (In evaluation stage.) 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.
Projects
Service
Journal of Emerging Investigators
Volunteer Reviewer. July 2023 - present. Found here
UW Tacoma Computer Science Faculty Council
Student Representative. September 2022 - June 2023.
Awards
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.
