Agrawal, Rajashree

12 publications

ICLR 2025 Failures to Find Transferable Image Jailbreaks Between Vision-Language Models Rylan Schaeffer, Dan Valentine, Luke Bailey, James Chua, Cristobal Eyzaguirre, Zane Durante, Joe Benton, Brando Miranda, Henry Sleight, Tony Tong Wang, John Hughes, Rajashree Agrawal, Mrinank Sharma, Scott Emmons, Sanmi Koyejo, Ethan Perez

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

ICMLW 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

NeurIPSW 2024 Failures to Find Transferable Image Jailbreaks Between Vision-Language Models Rylan Schaeffer, Dan Valentine, Luke Bailey, James Chua, Zane Durante, Cristobal Eyzaguirre, Joe Benton, Brando Miranda, Henry Sleight, Tony Tong Wang, John Hughes, Rajashree Agrawal, Mrinank Sharma, Scott Emmons, Sanmi Koyejo, Ethan Perez

NeurIPSW 2024 Failures to Find Transferable Image Jailbreaks Between Vision-Language Models Rylan Schaeffer, Dan Valentine, Luke Bailey, James Chua, Zane Durante, Cristobal Eyzaguirre, Joe Benton, Brando Miranda, Henry Sleight, Tony Tong Wang, John Hughes, Rajashree Agrawal, Mrinank Sharma, Scott Emmons, Sanmi Koyejo, Ethan Perez

ICMLW 2024 Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data Matthias Gerstgrasser, Rylan Schaeffer, Apratim Dey, Rafael Rafailov, Tomasz Korbak, Henry Sleight, Rajashree Agrawal, John Hughes, Dhruv Bhandarkar Pai, Andrey Gromov, Dan Roberts, Diyi Yang, David L. Donoho, Sanmi Koyejo

NeurIPSW 2024 Jailbreak Defense in a Narrow Domain: Failures of Existing Methods and Improving Transcript-Based Classifiers Tony Tong Wang, John Hughes, Henry Sleight, Rylan Schaeffer, Rajashree Agrawal, Fazl Barez, Mrinank Sharma, Jesse Mu, Nir N Shavit, Ethan Perez

NeurIPSW 2024 Jailbreak Defense in a Narrow Domain: Failures of Existing Methods and Improving Transcript-Based Classifiers Tony Tong Wang, John Hughes, Henry Sleight, Rylan Schaeffer, Rajashree Agrawal, Fazl Barez, Mrinank Sharma, Jesse Mu, Nir N Shavit, Ethan Perez

NeurIPS 2024 Many-Shot Jailbreaking Cem Anil, Esin Durmus, Nina Panickssery, Mrinank Sharma, Joe Benton, Sandipan Kundu, Joshua Batson, Meg Tong, Jesse Mu, Daniel Ford, Fracesco Mosconi, Rajashree Agrawal, Rylan Schaeffer, Naomi Bashkansky, Samuel Svenningsen, Mike Lambert, Ansh Radhakrishnan, Carson Denison, Evan J Hubinger, Yuntao Bai, Trenton Bricken, Timothy Maxwell, Nicholas Schiefer, James Sully, Alex Tamkin, Tamera Lanhan, Karina Nguyen, Tomasz Korbak, Jared Kaplan, Deep Ganguli, Samuel R. Bowman, Ethan Perez, Roger Baker Grosse, David Duvenaud

ICMLW 2024 ReLU MLPs Can Compute Numerical Integration: Mechanistic Interpretation of a Non-Linear Activation Chun Hei Yip, Rajashree Agrawal, Jason Gross

NeurIPSW 2024 When Do Universal Image Jailbreaks Transfer Between Vision-Language Models? Rylan Schaeffer, Dan Valentine, Luke Bailey, James Chua, Cristobal Eyzaguirre, Zane Durante, Joe Benton, Brando Miranda, Henry Sleight, Tony Tong Wang, John Hughes, Rajashree Agrawal, Mrinank Sharma, Scott Emmons, Sanmi Koyejo, Ethan Perez

NeurIPSW 2024 When Do Universal Image Jailbreaks Transfer Between Vision-Language Models? Rylan Schaeffer, Dan Valentine, Luke Bailey, James Chua, Cristobal Eyzaguirre, Zane Durante, Joe Benton, Brando Miranda, Henry Sleight, Tony Tong Wang, John Hughes, Rajashree Agrawal, Mrinank Sharma, Scott Emmons, Sanmi Koyejo, Ethan Perez