Scholar
Ivan Evtimov
Google Scholar ID: F0yiLRIAAAAJ
AI at Meta
red teaming
adversarial machine learning
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Citations & Impact
All-time
Citations
17,270
H-index
17
i10-index
23
Publications
20
Co-authors
0
Contact
Email
roadsigns@umich.edu
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Publications
7 items
How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition
2026
Cited
0
Safety Alignment of LMs via Non-cooperative Games
2025
Cited
0
OpenApps: Simulating Environment Variations to Measure UI-Agent Reliability
2025
Cited
0
RL Is a Hammer and LLMs Are Nails: A Simple Reinforcement Learning Recipe for Strong Prompt Injection
2025
Cited
0
Large Reasoning Models Learn Better Alignment from Flawed Thinking
2025
Cited
0
WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks
2025
Cited
0
AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents
2025
Cited
0
Resume (English only)
Academic Achievements
Received Distinguished Paper Award at the Workshop on Adversarial Machine Learning in Real-World Computer Vision Systems for work on multimodal models
Research covered by Ars Technica, IEEE Spectrum, and others
Published 'FoggySight: A Scheme for Facial Lookup Privacy' in Proceedings on Privacy Enhancing Technologies (PoPETs), 2021(3)
Paper 'Disrupting Model Training with Adversarial Shortcuts' accepted to an ICML workshop
Multiple works released as arXiv preprints (e.g., arXiv:2011.12902, arXiv:2012.08588)
Background
Computer Science Researcher specializing in security and privacy
Focuses on the intersection of security and machine learning
Investigates whether adversarial examples pose real threats to deployed systems
Advocates for a systems-wide approach to securing AI-integrated systems
Actively explores legal and policy implications of adversarial capabilities; co-authored work through the Tech Policy Lab
Co-authors
0 total
Co-authors: 0 (list not available)
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