Jamie Hayes

Researcher, Google DeepMind

Joined

September 2019

Names

Jamie Hayes (Preferred)

Emails

****@gmail.com (Confirmed)

****@cs.ucl.ac.uk (Confirmed)

****@deepmind.com (Confirmed)

****@google.com (Confirmed)

Personal Links

Google Scholar

Career & Education History

Researcher

Google DeepMind (google.com)

2020 – Present

PhD student

University College London (ucl.ac.uk)

2014 – 2020

Advisors, Relations & Conflicts

PhD Advisor

George Danezis

2014 – 2021

Expertise

No areas of expertise listed

Publications

Honeyval: A Comprehensive Evaluation Framework for LLM-powered HTTP Honeypots
Mark Vero, Fabian Kaczmarczyck, Ivan Petrov, Ilia Shumailov, Niels Heinen, Jamie Hayes, Tianqi Fan, Luca Invernizzi, Martin Vechev
- CTB@ICML 2026
- Readers: Everyone
Honeyval: A Comprehensive Evaluation Framework for LLM-powered HTTP Honeypots
Mark Vero, Fabian Kaczmarczyck, Ivan Petrov, Ilia Shumailov, Niels Heinen, Jamie Hayes, Tianqi Fan, Luca Invernizzi, Martin Vechev
- ICML 2026 AIWILD
- Readers: Everyone
Soft Instruction De-escalation Defense
Nils Philipp Walter, Chawin Sitawarin, Jamie Hayes, David Stutz, Ilia Shumailov
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against LLM Jailbreaks and Prompt Injections
Milad Nasr, Chawin Sitawarin, Sander V Schulhoff, Michael Ilie, Jamie Hayes, Juliette Pluto, Abhradeep Guha Thakurta, Shuang Song, Andreas Terzis, Ilia Shumailov, Harsh Chaudhari, Kai Yuanqing Xiao, Florian Tramèr, Nicholas Carlini
- Submitted to ICLR 2026
- Readers: Everyone
Exploiting Reasoning Patterns in Language Models for Indirect Targeted Poisoning
Harsh Chaudhari, Ethan Rathbun, Hanna Foerster, Jamie Hayes, Matthew Jagielski, Milad Nasr, Ilia Shumailov, Alina Oprea
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Kevin Klyman, Matthew Jagielski, Katja Filippova, Ken Liu, Alexandra Chouldechova, Jamie Hayes, Yangsibo Huang, Eleni Triantafillou, Peter Kairouz, Nicole Elyse Mitchell, Niloofar Mireshghallah, Abigail Z. Jacobs, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Ilia Shumailov, Andreas Terzis et al. (17 additional authors not shown)
- NeurIPS 2025 Position Paper Track Oral
- Readers: Everyone
Cascading Adversarial Bias from Injection to Distillation in Language Models
Harsh Chaudhari, Jamie Hayes, Matthew Jagielski, Ilia Shumailov, Milad Nasr, Alina Oprea
- DIG-BUG Long
- Readers: Everyone
Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy
Bogdan Kulynych, Juan Felipe Gomez, Georgios Kaissis, Jamie Hayes, Borja Balle, Flavio Calmon, Jean Louis Raisaro
- NeurIPS 2025 poster
- Readers: Everyone
Exploring the limits of strong membership inference attacks on large language models
Jamie Hayes, Ilia Shumailov, Christopher A. Choquette-Choo, Matthew Jagielski, Georgios Kaissis, Milad Nasr, Meenatchi Sundaram Muthu Selva Annamalai, Niloofar Mireshghallah, Igor Shilov, Matthieu Meeus, Yves-Alexandre de Montjoye, Katherine Lee, Franziska Boenisch, Adam Dziedzic, A. Feder Cooper
- NeurIPS 2025 poster
- Readers: Everyone
Interpreting the Repeated Token Phenomenon in Large Language Models
Itay Yona, Ilia Shumailov, Jamie Hayes, Yossi Gandelsman
- ICML 2025 poster
- Readers: Everyone

View all 55 publications

Co-Authors

View all 121 co-authors