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Model evaluation for extreme risks T Shevlane, S Farquhar, B Garfinkel, M Phuong, J Whittlestone, J Leung, ... arXiv preprint arXiv:2305.15324, 2023 | 74 | 2023 |
Invited talk: The coming ai hackers B Schneier Cyber Security Cryptography and Machine Learning: 5th International …, 2021 | 34 | 2021 |
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 21 | 2024 |
Privacy side channels in machine learning systems E Debenedetti, G Severi, N Carlini, CA Choquette-Choo, M Jagielski, ... arXiv preprint arXiv:2309.05610, 2023 | 13 | 2023 |
Model evaluation for extreme risks (arXiv: 2305.15324). arXiv T Shevlane, S Farquhar, B Garfinkel, M Phuong, J Whittlestone, J Leung, ... | 8 | 2023 |
Model evaluation for extreme risks, May 2023 T Shevlane, S Farquhar, B Garfinkel, M Phuong, J Whittlestone, J Leung, ... URL https://arxiv. org/abs/2305.15324 v2, 2023 | 5 | 2023 |
The Ethics of Advanced AI Assistants I Gabriel, A Manzini, G Keeling, LA Hendricks, V Rieser, H Iqbal, ... arXiv preprint arXiv:2404.16244, 2024 | 1 | 2024 |
Secret Collusion Among Generative AI Agents SR Motwani, M Baranchuk, M Strohmeier, V Bolina, PHS Torr, ... arXiv preprint arXiv:2402.07510, 2024 | 1 | 2024 |
Language Model Cascades: Token-level uncertainty and beyond N Gupta, H Narasimhan, W Jitkrittum, AS Rawat, AK Menon, S Kumar arXiv preprint arXiv:2404.10136, 2024 | | 2024 |