Articles with public access mandates - Kathrin GrosseLearn more
Available somewhere: 12
Adversarial examples for malware detection
K Grosse, N Papernot, P Manoharan, M Backes, P McDaniel
Computer Security–ESORICS 2017: 22nd European Symposium on Research in …, 2017
Mandates: US Department of Defense, European Commission, Federal Ministry of Education …
Mlcapsule: Guarded offline deployment of machine learning as a service
L Hanzlik, Y Zhang, K Grosse, A Salem, M Augustin, M Backes, M Fritz
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Mandates: Helmholtz Association, Federal Ministry of Education and Research, Germany
Wild patterns reloaded: A survey of machine learning security against training data poisoning
AE Cinà, K Grosse, A Demontis, S Vascon, W Zellinger, BA Moser, ...
ACM Computing Surveys 55 (13s), 1-39, 2023
Mandates: European Commission
Integrating argumentation and sentiment analysis for mining opinions from Twitter
K Grosse, MP Gonzalez, CI Chesnevar, AG Maguitman
AI Communications 28 (3), 387-401, 2015
Mandates: Government of Argentina
Industrial practitioners' mental models of adversarial machine learning
L Bieringer, K Grosse, M Backes, B Biggio, K Krombholz
Eighteenth Symposium on Usable Privacy and Security (SOUPS 2022), 97-116, 2022
Mandates: Helmholtz Association, Federal Ministry of Education and Research, Germany
Backdoor smoothing: Demystifying backdoor attacks on deep neural networks
K Grosse, T Lee, B Biggio, Y Park, M Backes, I Molloy
Computers & Security 120, 102814, 2022
Mandates: Helmholtz Association, Federal Ministry of Education and Research, Germany
On the security relevance of initial weights in deep neural networks
K Grosse, TA Trost, M Mosbach, M Backes, D Klakow
Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Killing four birds with one Gaussian process: The relation between different test-time attacks
K Grosse, MT Smith, M Backes
2020 25th International Conference on Pattern Recognition (ICPR), 4696-4703, 2021
Mandates: UK Engineering and Physical Sciences Research Council, Federal Ministry of …
Adversarial vulnerability bounds for Gaussian process classification
MT Smith, K Grosse, M Backes, MA Alvarez
Machine Learning 112 (3), 971-1009, 2023
Mandates: UK Engineering and Physical Sciences Research Council, Federal Ministry of …
Do winning tickets exist before DNN training?
K Grosse, M Backes
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
Mandates: Federal Ministry of Education and Research, Germany
Summarising event sequences using serial episodes and an ontology
K Grosse, J Vreeken
Proceedings of the Workshop on Interactions between Data Mining and Natural …, 2017
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Why is Machine Learning Security so hard?
K Grosse
Saarländische Universitäts-und Landesbibliothek, 2020
Mandates: Federal Ministry of Education and Research, Germany
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