Blake Bullwinkel

According to our database, Blake Bullwinkel authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GRP-Obliteration: Unaligning LLMs With a Single Unlabeled Prompt.

Mark Russinovich, Yanan Cai, Keegan Hines, Giorgio Severi, Blake Bullwinkel, Ahmed Salem

CoRR, February, 2026

The Trigger in the Haystack: Extracting and Reconstructing LLM Backdoor Triggers.

Blake Bullwinkel, Giorgio Severi, Keegan Hines, Amanda J. Minnich, Ram Shankar Siva Kumar, Yonatan Zunger

CoRR, February, 2026

Beyond the Single Turn: Reframing Refusals as Dynamic Experiences Embedded in the Context of Mental Health Support Interactions with LLMs.

Ningjing Tang, Alice Qian, Qiaosi Wang, Esther Howe, Blake Bullwinkel, Paola Pedrelli, Jina Suh, Hoda Heidari, Hong Shen

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

2025

A Systematization of Security Vulnerabilities in Computer Use Agents.

Daniel Jones, Giorgio Severi, Martin Pouliot, Gary Lopez, Joris de Gruyter, Santiago Zanella-Béguelin, Justin Song, Blake Bullwinkel, Pamela Cortez, Amanda J. Minnich

CoRR, July, 2025

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks.

Blake Bullwinkel, Mark Russinovich, Ahmed Salem, Santiago Zanella-Béguelin, Daniel Jones, Giorgio Severi, Eugenia Kim, Keegan Hines, Amanda J. Minnich, Yonatan Zunger, Ram Shankar Siva Kumar

CoRR, July, 2025

Lessons From Red Teaming 100 Generative AI Products.

Blake Bullwinkel, Amanda J. Minnich, Shiven Chawla, Gary Lopez, Martin Pouliot, Whitney Maxwell, Joris de Gruyter, Katherine Pratt, Saphir Qi, Nina Chikanov, Roman Lutz, Raja Sekhar Rao Dheekonda, Bolor-Erdene Jagdagdorj, Eugenia Kim, Justin Song, Keegan Hines, Daniel Jones, Giorgio Severi, Richard Lundeen, Sam Vaughan, Victoria Westerhoff, Pete Bryan, Ram Shankar Siva Kumar, Yonatan Zunger, Chang Kawaguchi, Mark Russinovich

CoRR, January, 2025

2024

PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI System.

Gary D. Lopez Munoz, Amanda J. Minnich, Roman Lutz, Richard Lundeen, Raja Sekhar Rao Dheekonda, Nina Chikanov, Bolor-Erdene Jagdagdorj, Martin Pouliot, Shiven Chawla, Whitney Maxwell, Blake Bullwinkel, Katherine Pratt, Joris de Gruyter, Charlotte Siska, Pete Bryan, Tori Westerhoff, Chang Kawaguchi, Christian Seifert, Ram Shankar Siva Kumar, Yonatan Zunger

CoRR, 2024

Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle.

Emman Haider, Daniel Perez-Becker, Thomas Portet, Piyush Madan, Amit Garg, David Majercak, Wen Wen, Dongwoo Kim, Ziyi Yang, Jianwen Zhang, Hiteshi Sharma, Blake Bullwinkel, Martin Pouliot, Amanda J. Minnich, Shiven Chawla, Solianna Herrera, Shahed Warreth, Maggie Engler, Gary Lopez, Nina Chikanov, Raja Sekhar Rao Dheekonda, Bolor-Erdene Jagdagdorj, Roman Lutz, Richard Lundeen, Tori Westerhoff, Pete Bryan, Christian Seifert, Ram Shankar Siva Kumar, Andrew Berkley, Alex Kessler

CoRR, 2024

Using Large Language Models for Humanitarian Frontline Negotiation: Opportunities and Considerations.

Zilin Ma, Susannah Su, Nathan Zhao, Linn Bieske, Blake Bullwinkel, Yanyi Zhang, Sophia Yang, Ziqing Luo, Siyao Li, Gekai Liao, Boxiang Wang, Jinglun Gao, Zihan Wen, Claude Bruderlein, Weiwei Pan

CoRR, 2024

PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI Systems.

Gary D. Lopez Munoz, Amanda J. Minnich, Roman Lutz, Richard Lundeen, Raja Sekhar Rao Dheekonda, Nina Chikanov, Bolor-Erdene Jagdagdorj, Martin Pouliot, Shiven Chawla, Whitney Maxwell, Blake Bullwinkel, Katherine Pratt, Joris de Gruyter, Charlotte Siska, Pete Bryan, Tori Westerhoff, Chang Kawaguchi, Christian Seifert, Ram Shankar Siva Kumar, Yonatan Zunger

Proceedings of the Conference on Applied Machine Learning in Information Security (CAMLIS 2024), 2024

2022

Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows.

Raphaël Pellegrin, Blake Bullwinkel, Marios Mattheakis, Pavlos Protopapas

CoRR, 2022

DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks.

Blake Bullwinkel, Dylan Randle, Pavlos Protopapas, David Sondak

CoRR, 2022

Evaluating the Fairness Impact of Differentially Private Synthetic Data.

Blake Bullwinkel, Kristen Grabarz, Lily Ke, Scarlett Gong, Chris Tanner, Joshua Allen

CoRR, 2022