Kathrin Grosse

On the (Statistical) Detection of Adversarial Examples

Kathrin Grosse, Praveen Manoharan, Nicolas Papernot et al. · arXiv (Cornell University) · 2017 · 377 citations · Full text

Computing, Computer Science, Cybersecurity +14

Adversarial Perturbations Against Deep Neural Networks for Malware Classification

Kathrin Grosse, Nicolas Papernot, Praveen Manoharan et al. · arXiv (Cornell University) · 2016 · 321 citations · Full text

Computing, Computer Engineering, Computer Science +15

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service

Lucjan Hanzlik, Yang Zhang, Kathrin Grosse et al. · 2021 · 41 citations · Full text

Computing, Computer Science, Computer Systems +16

Integrating argumentation and sentiment analysis for mining opinions from Twitter

Kathrin Grosse, María Paula González, Carlos Iván Chesñevar et al. · AI Communications · 2015 · 39 citations · Full text

Computing, Computer Science, Natural Language Processing +16

Machine Learning Security in Industry: A Quantitative Survey

Kathrin Grosse, Lukas Bieringer, Tarek R. Besold et al. · IEEE Transactions on Information Forensics and Security · 2023 · 39 citations · Full text

Computing, Computer Science, Cybersecurity +14