Many-shot Jailbreaking. - Cem Anil; Esin Durmus; Nina Panickssery; Mrinank Sharma; Joe Benton; Sandipan Kundu; Joshua Batson; Meg Tong; Jesse Mu; Daniel Ford; Francesco Mosconi; Rajashree Agrawal; et al. (NeurIPS, 2024)

Compact Proofs of Model Performance via Mechanistic Interpretability. - Jason Gross; Rajashree Agrawal; Thomas Kwa; Euan Ong; Chun Hei Yip; Alex Gibson; Soufiane Noubir; Lawrence Chan (NeurIPS, 2024)

Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data. - Matthias Gerstgrasser; Rylan Schaeffer; Apratim Dey; Rafael Rafailov; Henry Sleight; John Hughes; Tomasz Korbak; Rajashree Agrawal; Dhruv Pai; Andrey Gromov; Daniel A. Roberts; Diyi Yang; et al. (CoRR, 2024)

When Do Universal Image Jailbreaks Transfer Between Vision-Language Models? - Rylan Schaeffer; Dan Valentine; Luke Bailey; James Chua; Cristóbal Eyzaguirre; Zane Durante; Joe Benton; Brando Miranda; Henry Sleight; John Hughes; Rajashree Agrawal; Mrinank Sharma; et al. (CoRR, 2024)

Jailbreak Defense in a Narrow Domain: Limitations of Existing Methods and a New Transcript-Classifier Approach. - Tony T. Wang 001; John Hughes; Henry Sleight; Rylan Schaeffer; Rajashree Agrawal; Fazl Barez; Mrinank Sharma; Jesse Mu; Nir Shavit; Ethan Perez (CoRR, 2024)

Modular addition without black-boxes: Compressing explanations of MLPs that compute numerical integration. - Chun Hei Yip; Rajashree Agrawal; Lawrence Chan; Jason Gross (CoRR, 2024)

Towards a Scalable Proof Engine: A Performant Prototype Rewriting Primitive for Coq. - Jason Gross; Andres Erbsen; Jade Philipoom; Rajashree Agrawal; Adam Chlipala (J. Autom. Reason., 2024)

Failures to Find Transferable Image Jailbreaks Between Vision-Language Models. - Rylan Schaeffer; Dan Valentine; Luke Bailey; James Chua; Cristóbal Eyzaguirre; Zane Durante; Joe Benton; Brando Miranda; Henry Sleight; Tony Tong Wang; John Hughes; Rajashree Agrawal; et al. (ICLR, 2025)