- July 2024 – At CCS'24 we will show how to defend against poisoning without modifying an ML pipeline with Mithridates.
- July 2024 – Privacy-conscious agents will appear at CCS'24.
- May 2024 – Adversarial Illusions received Distinguished Paper Award at USENIX Security'24.
Eugene Bagdasarian
Assistant Professor, UMass Amherst CICS
Other spellings: Eugene Bagdasaryan, Evgeny Bagdasaryan
eugene@umass.edu
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Office: CS 304
Eugene is an Assistant Professor at UMass Amherst CICS. Eugene's work focuses on security and privacy in emerging AI-based systems and agentic use-cases under real-life conditions and attacks.
He completed his PhD at Cornell Tech advised by Vitaly Shmatikov and Deborah Estrin. Eugene's research was recognized by Apple Scholars in AI/ML and Digital Life Initiative fellowships and Usenix Security Distinguished Paper Award. He received an engineering degree from Baumanka and worked at Cisco as a software engineer. Eugene has extensive industry experience (Cisco, Amazon, Apple) and spends part of his time as a Research Scientist at Google.
Eugene grew up in Tashkent and plays water polo.
Announcement 1: I am looking for PhD students (apply) and post-docs to work on attacks on LLM agents and generative models. Please reach out over email!
Announcement 2: We are running a seminar CS 692PA on Privacy and Security for GenAI models, please sign up if you are interested.
Security: He worked on backdoor attacks in federated learning and proposed new frameworks Backdoors101 and Mithridates, and a new attack on generative language models covered by VentureBeat and The Economist. Recent work includes studies on vulnerabilities in multi-modal systems: instruction injections, adversarial illusions and adding biases to text-to-image models.
Privacy: Eugene worked on the Air Gap privacy protection for LLM Agents and operationalizing Contextual Integrity. He worked on aspects of differential privacy including fairness trade-offs, applications to location heatmaps, and tokenization methods for private federated learning. Additionally he helped to build the Ancile system that enforces use-based privacy of user data.
Courses
CS 360: Intro to Security, SP 25. Syllabus
CS 692PA: Seminar on Privacy and Security for GenAI models, FA'24, SP'25
Academic Service
Conference Program Committees:
- ACM CCS'24, '23
- IEEE S&P (Oakland)'25