Max Kaufmann

2019202020212022202320245 30 32 30 47 24

Dan HendrycksDirector of the Center for AI SafetyVerified email at berkeley.edu
Daniel KangUIUCVerified email at illinois.edu
Owain EvansResearch Associate, University of OxfordVerified email at philosophy.ox.ac.uk
Tomasz KorbakAnthropicVerified email at anthropic.com
Meg TongAnthropicVerified email at anthropic.com
Ilia ShumailovGoogle DeepMindVerified email at google.com
Nicolas PapernotUniversity of Toronto and Vector InstituteVerified email at utoronto.ca
Robert MullinsDepartment of Computer Science and Technology, University of CambridgeVerified email at cl.cam.ac.uk
Yiren (Aaron) ZhaoImperial College London, University of CambridgeVerified email at imperial.ac.uk

Max Kaufmann

UK AI Safety Institute

Verified email at dsit.gov.uk


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Testing robustness against unforeseen adversaries M Kaufmann, D Kang, Y Sun, D Hendrycks, T Brown, J Steinhardt	134	2019
The Reversal Curse: LLMs trained on" A is B" fail to learn" B is A" L Berglund, M Tong, M Kaufmann, M Balesni, AC Stickland, T Korbak, ... ATTRIB Workshop, NeurIPS 2023, 2023	26	2023
Efficient adversarial training with data pruning M Kaufmann, Y Zhao, I Shumailov, R Mullins, N Papernot arXiv preprint arXiv:2207.00694, 2022	4	2022
Taken out of context: On measuring situational awareness in LLMs L Berglund, AC Stickland, M Balesni, M Kaufmann, M Tong, T Korbak, ... arXiv preprint arXiv:2309.00667, 2023	3	2023
Visibility into AI Agents A Chan, C Ezell, M Kaufmann, K Wei, L Hammond, H Bradley, E Bluemke, ... arXiv preprint arXiv:2401.13138, 2024	1	2024

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