Alex Robey
Scholar

Alex Robey

Google Scholar ID: V5NWZc8AAAAJ
Postdoc, Carnegie Mellon University
AI SafetyDeep learningConvex optimization
Citations & Impact
All-time
Citations
3,667
 
H-index
21
 
i10-index
25
 
Publications
20
 
Co-authors
43
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Papers: A paper on safety pretraining is online; a paper on antidistillation sampling is online; SmoothLLM was accepted at TMLR; a paper on jailbreaking robots was accepted at ICRA '25; a tutorial on jailbreaking LLMs was accepted at ICML '25; a paper introducing the PAIR jailbreak was accepted at SaTML '25; a paper on jailbreaking LLM-controlled robots is online; a non-zero-sum adversarial training paper was accepted at ICLR '24.
  • Awards: Won the 2024 Charles Hallac and Sarah Keil Wolf Award; named a Rising Star in Cyber-Physical Systems by the NSF; named a Rising Star in Adversarial ML at NeurIPS '24; won Best Poster Award at a workshop on robotic safety.
  • Other Achievements: SmoothLLM covered by MIT Technology Review; work on jailbreaking robots covered by Forbes, WIRED, IEEE Spectrum; work on jailbreaking LLMs covered by WIRED; red teaming public policy proposal received an oral at ICML '24; work on red teaming covered in The Washington Post.
Research Experience
  • Postdoc at CMU with J. Zico Kolter; worked at the University of Pennsylvania.
Education
  • Received a Ph.D. from the University of Pennsylvania in 2024, under the supervision of Hamed Hassani and George J. Pappas.
Background
  • Aiming to make AI safe for people to use. Research involves tools from statistics, optimization, and control theory.
Miscellany
  • Personal interests and other: No specific information provided.