Kathrin Grosse
Title
Cited by
Cited by
Year
Adversarial examples for malware detection
K Grosse, N Papernot, P Manoharan, M Backes, P McDaniel
European symposium on research in computer security, 62-79, 2017
655*2017
On the (statistical) detection of adversarial examples
K Grosse, P Manoharan, N Papernot, M Backes, P McDaniel
arXiv preprint arXiv:1702.06280, 2017
4822017
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
492021
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
342015
An Argument-based Approach to Mining Opinions from Twitter.
K Grosse, CI Chesńevar, AG Maguitman
AT 918, 408-422, 2012
272012
The limitations of model uncertainty in adversarial settings
K Grosse, D Pfaff, MT Smith, M Backes
arXiv preprint arXiv:1812.02606, 2018
26*2018
Empowering an e-government platform through twitter-based arguments
K Grosse, C Chesnevar, A Maguitman, E Estevez
Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial …, 2012
82012
On the security relevance of initial weights in deep neural networks
K Grosse, TA Trost, M Mosbach, M Backes, D Klakow
International Conference on Artificial Neural Networks, 3-14, 2020
5*2020
Adversarial vulnerability bounds for gaussian process classification
MT Smith, K Grosse, M Backes, MA Alvarez
arXiv preprint arXiv:1909.08864, 2019
42019
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
3*2021
Backdoor Smoothing: Demystifying Backdoor Attacks on Deep Neural Networks
K Grosse, T Lee, B Biggio, Y Park, M Backes, I Molloy
arXiv preprint arXiv:2006.06721, 2020
32020
Do winning tickets exist before DNN training?
K Grosse, M Backes
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
2*2021
A first approach to mining opinions as multisets through argumentation
CI Chesnevar, MP González, K Grosse, AG Maguitman
Agreement Technologies, 195-209, 2013
22013
Summarising Event Sequences using Serial Episodes and an Ontology
K Grosse, J Vreeken
CEUR Workshop Proceedings, 2017
12017
A First Approach Towards Integrating Twitter and Defeasible Argumentation
K Grosse, CI Chesnevar
13th Argentine Symposium on Artifici Intelligence, ASAI, 2012
12012
Measuring Overfitting of Machine Learning Computer Model and Susceptibility to Security Threats
K Grosse, T Lee, Y Park, IM Molloy
US Patent App. 16/833,884, 2021
2021
Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions
AE Cinŕ, K Grosse, S Vascon, A Demontis, B Biggio, F Roli, M Pelillo
arXiv preprint arXiv:2106.07214, 2021
2021
Mental Models of Adversarial Machine Learning
L Bieringer, K Grosse, M Backes, K Krombholz
arXiv preprint arXiv:2105.03726, 2021
2021
Adversarial Examples and Metrics
N Döttling, K Grosse, M Backes, I Molloy
arXiv preprint arXiv:2007.06993, 2020
2020
Why is Machine Learning Security so hard?
K Grosse
Saarländische Universitäts-und Landesbibliothek, 2020
2020
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