Justin D. Li

11 papers A* 3A 1Journal 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.
CoRR
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
2024 A* conf
The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning.
ICML
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
2023 A* conf
On Achieving Optimal Adversarial Test Error.
ICLR
Justin D. Li, Matus Telgarsky
2023 J jnl
On Achieving Optimal Adversarial Test Error.
CoRR
Justin D. Li, Matus Telgarsky
2021 A* conf
Early-stopped neural networks are consistent.
NeurIPS
Ziwei Ji, Justin D. Li, Matus Telgarsky
2021 J jnl
Early-stopped neural networks are consistent.
CoRR
Ziwei Ji, Justin D. Li, Matus Telgarsky
2020 J jnl
Blockchains for Government: Use Cases and Challenges.
Digit. Gov. Res. Pract.
James R. Clavin, Sisi Duan, Haibin Zhang, Vandana P. Janeja, Karuna P. Joshi, Yelena Yesha, Lucy C. Erickson, Justin D. Li
2019 J jnl
A Hybrid Approach for Optimizing Parallel Clustering Throughput using the GPU.
IEEE Trans. Parallel Distributed Syst.
Michael Gowanlock, Cody M. Rude, David M. Blair, Justin D. Li, Victor Pankratius
2018 J jnl
Parallel optimization of signal detection in active magnetospheric signal injection experiments.
Comput. Geosci.
Michael G. Gowanlock, Justin D. Li, Cody M. Rude, Victor Pankratius
2017 A conf
Clustering Throughput Optimization on the GPU.
IPDPS
Michael G. Gowanlock, Cody M. Rude, David M. Blair, Justin D. Li, Victor Pankratius
2016 J jnl
Computer-Aided Discovery: Toward Scientific Insight Generation with Machine Support.
IEEE Intell. Syst.
Victor Pankratius, Justin D. Li, Michael G. Gowanlock, David M. Blair, Cody Rude, Tom Herring, Frank D. Lind, Philip J. Erickson, Colin J. Lonsdale