Maxwell Lin

According to our database, Maxwell Lin authored at least 12 papers between 2021 and 2026.

Collaborative distances:

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

2026

How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition.

Mateusz Dziemian, Maxwell Lin, Xiaohan Fu, Micha Nowak, Nick Winter, Eliot Krzysztof Jones, Andy Zou, Lama Ahmad, Kamalika Chaudhuri, Sahana Chennabasappa, Xander Davies, Lauren Deason, Benjamin L. Edelman, Tanner Emek, Ivan Evtimov, Jim Gust, Maia Hamin, Kat He, Klaudia Krawiecka, Riccardo Patana, Neil Perry, Troy Peterson, Xiangyu Qi, Javier Rando, Zifan Wang, Zihan Wang, Spencer Whitman, Eric Winsor, Arman Zharmagambetov, Matt Fredrikson, Zico Kolter

CoRR, March, 2026

2025

Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition.

Andy Zou, Maxwell Lin, Eliot Krzysztof Jones, Micha Nowak, Mateusz Dziemian, Nick Winter, Alexander Grattan, Valent Nathanael, Ayla Croft, Xander Davies, Jai Patel, Robert Kirk, Nate Burnikell, Yarin Gal, Dan Hendrycks, J. Zico Kolter, Matt Fredrikson

CoRR, July, 2025

Tamper-Resistant Safeguards for Open-Weight LLMs.

Rishub Tamirisa, Bhrugu Bharathi, Long Phan, Andy Zhou, Alice Gatti, Tarun Suresh, Maxwell Lin, Justin Wang, Rowan Wang, Ron Arel, Andy Zou, Dawn Song, Bo Li, Dan Hendrycks, Mantas Mazeika

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents.

Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian, Derek Duenas, Maxwell Lin, Justin Wang, Dan Hendrycks, Andy Zou, J. Zico Kolter, Matt Fredrikson, Yarin Gal, Xander Davies

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Oogway: Designing, Implementing, and Testing an AUV for RoboSub 2023.

Will Denton, Lilly Chiavetta, Michael Bryant, Vedarsh Shah, Rico Zhu, Ricky Weerts, Phillip Xue, Vincent Chen, Hung Le, Maxwell Lin, Austin Camacho, Drew Council, Ethan Horowitz, Jackie Ong, Morgan Chu, Alex Pool

CoRR, 2024

Technical Design Review of Duke Robotics Club's Oogway: An AUV for RoboSub 2024.

Will Denton, Michael Bryant, Lilly Chiavetta, Vedarsh Shah, Rico Zhu, Philip Xue, Vincent Chen, Maxwell Lin, Hung Le, Austin Camacho, Raul Galvez, Nathan Yang, Nathanael Ren, Tyler Rose, Mathew Chu, Amir Ergashev, Saagar Arya, Kaelyn Pieter, Ethan Horowitz, Maanav Allampallam, Patrick Zheng, Mia Kaarls, June Wood

CoRR, 2024

AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents.

Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian, Derek Duenas, Maxwell Lin, Justin Wang, Dan Hendrycks, Andy Zou, Zico Kolter, Matt Fredrikson, Eric Winsor, Jerome Wynne, Yarin Gal, Xander Davies

CoRR, 2024

Improving Alignment and Robustness with Circuit Breakers.

Andy Zou, Long Phan, Justin Wang, Derek Duenas, Maxwell Lin, Maksym Andriushchenko, Rowan Wang, Zico Kolter, Matt Fredrikson, Dan Hendrycks

CoRR, 2024

Improving Alignment and Robustness with Circuit Breakers.

Andy Zou, Long Phan, Justin Wang, Derek Duenas, Maxwell Lin, Maksym Andriushchenko, J. Zico Kolter, Matt Fredrikson, Dan Hendrycks

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Browsing without Third-Party Cookies: What Do You See?

Maxwell Lin, Shihan Lin, Helen Wu, Karen Wang, Xiaowei Yang

Proceedings of the 2024 ACM on Internet Measurement Conference, 2024

Teaching Large Language Models to Self-Debug.

Xinyun Chen, Maxwell Lin, Nathanael Schärli, Denny Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2021

On the automorphism group of the Morse complex.

Maxwell Lin, Nicholas A. Scoville

Adv. Appl. Math., 2021