Kathrin Grosse - Concepedia

Author

Kathrin Grosse

University of Cagliari ORCID

Also Known As

Demetrio, Luca, Grosse, Kathrin, J. Gil-Garcia, Kathrin Grosse, Paeth, Kevin

Publications

1.7K

Citations

H-Index

Concepts

All Affiliations

University of Cagliari École Polytechnique Fédérale de Lausanne Helmholtz Center for Information Security Universidad Nacional del Sur Ca' Foscari University of Venice

About

Kathrin Grosse is an author at University of Cagliari specializing in computer science, engineering, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	397
2	Computer Science	5	5	397
3	Data Science	4	4	384
4	Artificial Intelligence	3	3	64
5	Computer Vision	1	1	320

Kathrin Grosse

Publications

931

Citations

H-Index

Page 1

	Year	Citations
On the (Statistical) Detection of Adversarial Examples Kathrin Grosse, Praveen Manoharan, Nicolas Papernot, arXiv (Cornell University)	2017	375
Adversarial Perturbations Against Deep Neural Networks for Malware Classification Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, arXiv (Cornell University) Deep Neural NetworksComputer VisionMachine LearningData ScienceMalware Classification	2016	320
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service Lucjan Hanzlik, Yang Zhang, Kathrin Grosse,	2021	40
Integrating argumentation and sentiment analysis for mining opinions from Twitter Kathrin Grosse, María Paula González, Carlos Iván Chesñevar, AI Communications	2015	38
Machine Learning Security in Industry: A Quantitative Survey Kathrin Grosse, Lukas Bieringer, Tarek R. Besold, IEEE Transactions on Information Forensics and Security	2023	35
Machine Learning Security Against Data Poisoning: Are We There Yet? Antonio Emanuele Ciná, Kathrin Grosse, Ambra Demontis, Computer Artificial IntelligenceEngineeringMachine LearningEvasion TechniqueInformation Security	2024	27
The Limitations of Model Uncertainty in Adversarial Settings Kathrin Grosse, David Pfaff, Michael Thomas Smith, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData ScienceUncertainty Quantification	2018	24
An Argument-based Approach to Mining Opinions from Twitter. Kathrin Grosse, Carlos Iván Chesñevar, Ana Gabriela Maguitman	2012	22
Backdoor smoothing: Demystifying backdoor attacks on deep neural networks Kathrin Grosse, Taesung Lee, Battista Biggio, Computers & Security EngineeringMachine LearningAttack ModelAdversarial Machine LearningComputer Science	2022	13
Machine Learning Security against Data Poisoning: Are We There Yet? Antonio Emanuele Ciná, Kathrin Grosse, Ambra Demontis, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningEvasion TechniqueInformation Security	2022	13

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