Justin D. Li

According to our database, Justin D. Li authored at least 9 papers between 2016 and 2024.

Collaborative distances:

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

2024

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.

Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Long Phan, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Adam Khoja, Zhenqi Zhao, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Liu, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Russell Kaplan, Ian Steneker, David Campbell, Brad Jokubaitis, Alex Levinson, Jean Wang, William Qian, Kallol Krishna Karmakar, Steven Basart, Stephen Fitz, Mindy Levine, Ponnurangam Kumaraguru, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks

CoRR, 2024

The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning.

Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Lin, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Ian Steneker, David Campbell, Brad Jokubaitis, Steven Basart, Stephen Fitz, Ponnurangam Kumaraguru, Kallol Krishna Karmakar, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

On Achieving Optimal Adversarial Test Error.

Justin D. Li, Matus Telgarsky

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Early-stopped neural networks are consistent.

Ziwei Ji, Justin D. Li, Matus Telgarsky

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Blockchains for Government: Use Cases and Challenges.

James R. Clavin, Sisi Duan, Haibin Zhang, Vandana P. Janeja, Karuna P. Joshi, Yelena Yesha, Lucy C. Erickson, Justin D. Li

Digit. Gov. Res. Pract., 2020

2019

A Hybrid Approach for Optimizing Parallel Clustering Throughput using the GPU.

Michael Gowanlock, Cody M. Rude, David M. Blair, Justin D. Li, Victor Pankratius

IEEE Trans. Parallel Distributed Syst., 2019

2018

Parallel optimization of signal detection in active magnetospheric signal injection experiments.

Michael G. Gowanlock, Justin D. Li, Cody M. Rude, Victor Pankratius

Comput. Geosci., 2018

2017

Clustering Throughput Optimization on the GPU.

Michael G. Gowanlock, Cody M. Rude, David M. Blair, Justin D. Li, Victor Pankratius

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

2016

Computer-Aided Discovery: Toward Scientific Insight Generation with Machine Support.

Victor Pankratius, Justin D. Li, Michael G. Gowanlock, David M. Blair, Cody Rude, Tom Herring, Frank D. Lind, Philip J. Erickson, Colin J. Lonsdale

IEEE Intell. Syst., 2016