Kathrin Grosse
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
7
Active years
2017–2024
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | AAAI | When Your AI Becomes a Target: AI Security Incidents and Best Practices. | Kathrin Grosse, Lukas Bieringer, Tarek R. Besold, Battista Biggio, Alexandre Alahi |
| 2022 | SOUPS | Industrial practitioners' mental models of adversarial machine learning. | Lukas Bieringer, Kathrin Grosse, Michael Backes, Battista Biggio, Katharina Krombholz |
| 2021 | CVPR | MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. | Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz |
| 2021 | SDM | Do winning tickets exist before DNN training? | Kathrin Grosse, Michael Backes |
| 2020 | ICANN | On the Security Relevance of Initial Weights in Deep Neural Networks. | Kathrin Grosse, Thomas Alexander Trost, Marius Mosbach, Michael Backes, Dietrich Klakow |
| 2020 | ICPR | Killing Four Birds with one Gaussian Process: The Relation between different Test-Time Attacks. | Kathrin Grosse, Michael T. Smith, Michael Backes |
| 2017 | ESORICS | Adversarial Examples for Malware Detection. | Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Michael Backes, Patrick D. McDaniel |