Scholar
Octavian Suciu
Google Scholar ID: t2vIfoAAAAAJ
Google Research
Citations & Impact
Citations
2,598
H-index
7
i10-index
7
Publications
15
Co-authors
8
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Core contributor to the development of the Exploit Prediction Scoring System (EPSS), a machine learning scoring system that captures the risk of attacks in the wild against vulnerabilities, used daily by thousands of security practitioners. His work has been featured in SC Magazine, Dark Reading, The Register, and MIT Technology Review.
Research Experience
- Before joining Google, he was a Postdoctoral Researcher at the Maryland Cybersecurity Center (UMIACS). His current work focuses on developing privacy mechanisms for planet scale AI and analytics problems. While at UMD, his research centered around building robust systems for security, large scale measurements, and the security of machine learning.
Education
- Received a PhD in Computer Science from UMD in 2021, under the supervision of Prof. Tudor Dumitras. His dissertation focused on Data-Driven Techniques For Vulnerability Assessments.
Background
- Research interests include federated learning and analytics, privacy mechanisms development, and building robust systems for security. Currently a Research Scientist in the Federated Learning and Analytics team at Google Research. Formerly a Postdoctoral Researcher at the Maryland Cybersecurity Center (UMIACS).
