Alexander Meinke

19 papers A* 5Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multi-Agent Risks from Advanced AI. CoRR Lewis Hammond, Alan Chan, Jesse Clifton, Jason Hoelscher-Obermaier, Akbir Khan, Euan McLean, Chandler Smith, Wolfram Barfuss, Jakob N. Foerster, Tomas Gavenciak, The Anh Han, Edward Hughes, Vojtech Kovarík, Jan Kulveit, Joel Z. Leibo, Caspar Oesterheld, Christian Schröder de Witt, Nisarg Shah, Michael P. Wellman, Paolo Bova, Theodor Cimpeanu, Carson Ezell, Quentin Feuillade-Montixi, Matija Franklin, Esben Kran, Igor Krawczuk, Max Lamparth, Niklas Lauffer, Alexander Meinke, Sumeet Motwani, Anka Reuel, Vincent Conitzer, Michael Dennis, Iason Gabriel, Adam Gleave, Gillian K. Hadfield, Nika Haghtalab, Atoosa Kasirzadeh, Sébastien Krier, Kate Larson, Joel Lehman, David C. Parkes, Georgios Piliouras, Iyad Rahwan
2025	J	`jnl`	Stress Testing Deliberative Alignment for Anti-Scheming Training. CoRR Bronson Schoen, Evgenia Nitishinskaya, Mikita Balesni, Axel Højmark, Felix Hofstätter, Jérémy Scheurer, Alexander Meinke, Jason Wolfe, Teun van der Weij, Alex Lloyd, Nicholas Goldowsky-Dill, Angela Fan, Andrei Matveiakin, Rusheb Shah, Marcus Williams, Amelia Glaese, Boaz Barak, Wojciech Zaremba, Marius Hobbhahn
2024	J	`jnl`	Frontier Models are Capable of In-context Scheming. CoRR Alexander Meinke, Bronson Schoen, Jérémy Scheurer, Mikita Balesni, Rusheb Shah, Marius Hobbhahn
2024	A*	`conf`	Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs. NeurIPS Rudolf Laine, Bilal Chughtai, Jan Betley, Kaivalya Hariharan, Mikita Balesni, Jérémy Scheurer, Marius Hobbhahn, Alexander Meinke, Owain Evans
2024	J	`jnl`	Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs. CoRR Rudolf Laine, Bilal Chughtai, Jan Betley, Kaivalya Hariharan, Jérémy Scheurer, Mikita Balesni, Marius Hobbhahn, Alexander Meinke, Owain Evans
2024	J	`jnl`	Towards evaluations-based safety cases for AI scheming. CoRR Mikita Balesni, Marius Hobbhahn, David Lindner, Alexander Meinke, Tomek Korbak, Joshua Clymer, Buck Shlegeris, Jérémy Scheurer, Charlotte Stix, Rusheb Shah, Nicholas Goldowsky-Dill, Dan Braun, Bilal Chughtai, Owain Evans, Daniel Kokotajlo, Lucius Bushnaq
2023	—	`conf`	Improving Fairness and Cybersecurity in the Artificial Intelligence Act. EWAF Gabriele Carovano, Alexander Meinke
2023	—	`—`	Robust Out-of-Distribution Detection in Deep Classifiers. Alexander Meinke
2023	J	`jnl`	Tell, don't show: Declarative facts influence how LLMs generalize. CoRR Alexander Meinke, Owain Evans
2022	A*	`conf`	Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities. ICML Julian Bitterwolf, Alexander Meinke, Maximilian Augustin, Matthias Hein
2022	J	`jnl`	Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities. CoRR Julian Bitterwolf, Alexander Meinke, Maximilian Augustin, Matthias Hein
2022	A*	`conf`	Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free. NeurIPS Alexander Meinke, Julian Bitterwolf, Matthias Hein
2021	J	`jnl`	Provably Robust Detection of Out-of-distribution Data (almost) for free. CoRR Alexander Meinke, Julian Bitterwolf, Matthias Hein
2020	—	`conf`	Adversarial Robustness on In- and Out-Distribution Improves Explainability. ECCV (26) Maximilian Augustin, Alexander Meinke, Matthias Hein
2020	J	`jnl`	Adversarial Robustness on In- and Out-Distribution Improves Explainability. CoRR Maximilian Augustin, Alexander Meinke, Matthias Hein
2020	A*	`conf`	Certifiably Adversarially Robust Detection of Out-of-Distribution Data. NeurIPS Julian Bitterwolf, Alexander Meinke, Matthias Hein
2020	J	`jnl`	Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data. CoRR Julian Bitterwolf, Alexander Meinke, Matthias Hein
2020	A*	`conf`	Towards neural networks that provably know when they don't know. ICLR Alexander Meinke, Matthias Hein
2019	J	`jnl`	Towards neural networks that provably know when they don't know. CoRR Alexander Meinke, Matthias Hein