Alexander Meinke

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Robust Detection

Data Distribution

Top Venues

Publications

Rudolf Laine, Bilal Chughtai, Jan Betley, Kaivalya Hariharan, Jérémy Scheurer, Mikita Balesni, Marius Hobbhahn, Alexander Meinke, Owain Evans
Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs. CoRR (2024)
Gabriele Carovano, Alexander Meinke
Improving Fairness and Cybersecurity in the Artificial Intelligence Act. EWAF (2023)
Alexander Meinke, Owain Evans
Tell, don't show: Declarative facts influence how LLMs generalize. CoRR (2023)
Julian Bitterwolf, Alexander Meinke, Maximilian Augustin, Matthias Hein
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities. CoRR (2022)
Alexander Meinke, Julian Bitterwolf, Matthias Hein
Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free. NeurIPS (2022)
Julian Bitterwolf, Alexander Meinke, Maximilian Augustin, Matthias Hein
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities. ICML (2022)
Alexander Meinke, Julian Bitterwolf, Matthias Hein
Provably Robust Detection of Out-of-distribution Data (almost) for free. CoRR (2021)
Julian Bitterwolf, Alexander Meinke, Matthias Hein
Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data. CoRR (2020)
Maximilian Augustin, Alexander Meinke, Matthias Hein
Adversarial Robustness on In- and Out-Distribution Improves Explainability. CoRR (2020)
Julian Bitterwolf, Alexander Meinke, Matthias Hein
Certifiably Adversarially Robust Detection of Out-of-Distribution Data. NeurIPS (2020)
Alexander Meinke, Matthias Hein
Towards neural networks that provably know when they don't know. ICLR (2020)
Maximilian Augustin, Alexander Meinke, Matthias Hein
Adversarial Robustness on In- and Out-Distribution Improves Explainability. ECCV (26) (2020)
Alexander Meinke, Matthias Hein
Towards neural networks that provably know when they don't know. CoRR (2019)