Jacob Steinhardt

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	All	Since 2018
Citations	12185	11831
h-index	40	39
i10-index	70	66

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Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Dan HendrycksDirector of the Center for AI SafetyVerified email at berkeley.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Steven BasartPhD, University of ChicagoVerified email at ttic.edu
John SchulmanResearch Scientist, OpenAIVerified email at openai.com
Aditi RaghunathanAssistant professor, Carnegie Mellon UniversityVerified email at cmu.edu
Christopher OlahAnthropicVerified email at google.com
Paul ChristianoAlignment Research CenterVerified email at alignment.org
Dario AmodeiCEO and Co-Founder at AnthropicVerified email at anthropic.com
Gregory ValiantAssistant Professor of Computer Science, Stanford UniversityVerified email at stanford.edu
Pang Wei KohUniversity of WashingtonVerified email at cs.washington.edu
Zachary C. LiptonProfessor of Machine Learning at Carnegie Mellon; CTO / CSO at AbridgeVerified email at cmu.edu
Moses CharikarProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Jerry LiMicrosoft ResearchVerified email at microsoft.com
Andrew IlyasMassachusetts Institute of TechnologyVerified email at mit.edu
Pravesh K. KothariCarnegie Mellon UniversityVerified email at cs.cmu.edu
Daniel KangStanford UniversityVerified email at stanford.edu
Yi SunAssistant Professor, UChicago StatisticsVerified email at statistics.uchicago.edu
Tom B BrownAnthropicVerified email at anthropic.com
Banghua ZhuUniversity of California, BerkeleyVerified email at berkeley.edu

Jacob Steinhardt

Stanford University

Verified email at cs.stanford.edu - Homepage

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Concrete problems in AI safety D Amodei, C Olah, J Steinhardt, P Christiano, J Schulman, D Mané arXiv preprint arXiv:1606.06565, 2016	2250	2016
Certified defenses against adversarial examples A Raghunathan, J Steinhardt, P Liang arXiv preprint arXiv:1801.09344, 2018	983	2018
The many faces of robustness: A critical analysis of out-of-distribution generalization D Hendrycks, S Basart, N Mu, S Kadavath, F Wang, E Dorundo, R Desai, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	964	2021
Natural adversarial examples D Hendrycks, K Zhao, S Basart, J Steinhardt, D Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	954	2021
The malicious use of artificial intelligence: Forecasting, prevention, and mitigation M Brundage, S Avin, J Clark, H Toner, P Eckersley, B Garfinkel, A Dafoe, ... arXiv preprint arXiv:1802.07228, 2018	791	2018
Certified defenses for data poisoning attacks J Steinhardt, PWW Koh, PS Liang Advances in neural information processing systems 30, 2017	732	2017
Measuring massive multitask language understanding D Hendrycks, C Burns, S Basart, A Zou, M Mazeika, D Song, J Steinhardt arXiv preprint arXiv:2009.03300, 2020	454	2020
Semidefinite relaxations for certifying robustness to adversarial examples A Raghunathan, J Steinhardt, PS Liang Advances in neural information processing systems 31, 2018	428	2018
Troubling trends in machine learning scholarship ZC Lipton, J Steinhardt arXiv preprint arXiv:1807.03341, 2018	294*	2018
Learning from untrusted data M Charikar, J Steinhardt, G Valiant Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017	293	2017
Sever: A robust meta-algorithm for stochastic optimization I Diakonikolas, G Kamath, D Kane, J Li, J Steinhardt, A Stewart International Conference on Machine Learning, 1596-1606, 2019	282	2019
Measuring mathematical problem solving with the math dataset D Hendrycks, C Burns, S Kadavath, A Arora, S Basart, E Tang, D Song, ... arXiv preprint arXiv:2103.03874, 2021	248	2021
Scaling out-of-distribution detection for real-world settings D Hendrycks, S Basart, M Mazeika, A Zou, J Kwon, M Mostajabi, ... arXiv preprint arXiv:1911.11132, 2019	221	2019
Stronger data poisoning attacks break data sanitization defenses PW Koh, J Steinhardt, P Liang Machine Learning, 1-47, 2022	205	2022
Measuring coding challenge competence with apps D Hendrycks, S Basart, S Kadavath, M Mazeika, A Arora, E Guo, C Burns, ... arXiv preprint arXiv:2105.09938, 2021	183	2021
Aligning ai with shared human values D Hendrycks, C Burns, S Basart, A Critch, J Li, D Song, J Steinhardt arXiv preprint arXiv:2008.02275, 2020	176	2020
Unsolved problems in ml safety D Hendrycks, N Carlini, J Schulman, J Steinhardt arXiv preprint arXiv:2109.13916, 2021	172	2021
Rethinking bias-variance trade-off for generalization of neural networks Z Yang, Y Yu, C You, J Steinhardt, Y Ma International Conference on Machine Learning, 10767-10777, 2020	162	2020
Robust moment estimation and improved clustering via sum of squares PK Kothari, J Steinhardt, D Steurer Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing …, 2018	140	2018
Resilience: A criterion for learning in the presence of arbitrary outliers J Steinhardt, M Charikar, G Valiant arXiv preprint arXiv:1703.04940, 2017	134	2017

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