Jacob Steinhardt
Jacob Steinhardt
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
Concrete problems in AI safety
D Amodei, C Olah, J Steinhardt, P Christiano, J Schulman, D Mané
arXiv preprint arXiv:1606.06565, 2016
8032016
Certified defenses against adversarial examples
A Raghunathan, J Steinhardt, P Liang
arXiv preprint arXiv:1801.09344, 2018
4142018
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
2622018
Certified defenses for data poisoning attacks
J Steinhardt, PWW Koh, PS Liang
Advances in neural information processing systems, 3517-3529, 2017
2092017
Learning from untrusted data
M Charikar, J Steinhardt, G Valiant
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017
1432017
Semidefinite relaxations for certifying robustness to adversarial examples
A Raghunathan, J Steinhardt, PS Liang
Advances in Neural Information Processing Systems, 10877-10887, 2018
1282018
Troubling trends in machine learning scholarship
ZC Lipton, J Steinhardt
arXiv preprint arXiv:1807.03341, 2018
972018
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
922019
Resilience: A criterion for learning in the presence of arbitrary outliers
J Steinhardt, M Charikar, G Valiant
arXiv preprint arXiv:1703.04940, 2017
692017
Natural adversarial examples
D Hendrycks, K Zhao, S Basart, J Steinhardt, D Song
arXiv preprint arXiv:1907.07174, 2019
612019
Finite-time regional verification of stochastic non-linear systems
J Steinhardt, R Tedrake
The International Journal of Robotics Research 31 (7), 901-923, 2012
542012
Memory, communication, and statistical queries
J Steinhardt, G Valiant, S Wager
Conference on Learning Theory, 1490-1516, 2016
492016
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
452018
Stronger data poisoning attacks break data sanitization defenses
PW Koh, J Steinhardt, P Liang
arXiv preprint arXiv:1811.00741, 2018
432018
Adaptivity and optimism: An improved exponentiated gradient algorithm
J Steinhardt, P Liang
International Conference on Machine Learning, 1593-1601, 2014
422014
Minimax rates for memory-bounded sparse linear regression
J Steinhardt, J Duchi
Conference on Learning Theory, 1564-1587, 2015
312015
Testing robustness against unforeseen adversaries
D Kang, Y Sun, D Hendrycks, T Brown, J Steinhardt
arXiv preprint arXiv:1908.08016, 2019
272019
Avoiding imposters and delinquents: Adversarial crowdsourcing and peer prediction
J Steinhardt, G Valiant, M Charikar
Advances in Neural Information Processing Systems, 4439-4447, 2016
262016
Troubling trends in machine learning scholarship
ZC Lipton, J Steinhardt
Queue 17 (1), 45-77, 2019
222019
Better agnostic clustering via relaxed tensor norms
PK Kothari, J Steinhardt
arXiv preprint arXiv:1711.07465, 2017
212017
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