Items where Author is "Grosse, Kathrin"

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Number of items: 14.

Hanzlik, Lucjan and Zhang, Yang and Grosse, Kathrin and Salem, Ahmed and Augustin, Maximilian and Backes, Michael and Fritz, Mario
(2021) MLCapsule: Guarded Offline Deployment of Machine Learning as a Service.
In: 2021 IEEE CVPR Workshop on Fair, Data Efficient and Trusted Computer Vision.
Conference: ECCV European Conference on Computer Vision

Grosse, Kathrin and Backes, Michael
(2021) Do winning tickets exist before DNN training?
In: SDM21.
Conference: SDM SIAM International Conference on Data Mining

Grosse, Kathrin and Trost, Thomas A. and Mosbach, Marius and Backes, Michael
(2019) Adversarial Initialization - when your network performs the way I want -.
ArXiv e-prints.

Grosse, Kathrin and Pfaff, David and Smith, Michael Thomas and Backes, Michael
(2018) The Limitations of Model Uncertainty in Adversarial Settings.
ArXiv e-prints.

Hanzlik, Lucjan and Zhang, Yang and Grosse, Kathrin and Salem, Ahmed and Augustin, Max and Backes, Michael and Fritz, Mario
(2018) MLCapsule: Guarded Offline Deployment of Machine Learning as a Service.
arXiv
.

Grosse, Kathrin and Smith, Michael Thomas and Backes, Michael
(2018) Killing Three Birds with one Gaussian Process: Analyzing Attack Vectors on Classification.
ArXiv e-prints.
(Submitted)

Grosse, Kathrin and Papernot, Nicolas and Manoharan, Praveen and Backes, Michael and McDaniel, Patrick
(2017) Adversarial Examples for Malware Detection.
In: Computer Security - ESORICS 2017 - 22nd European Symposium on Research in Computer Security, Oslo, Norway, September 11-15, 2017, Proceedings, Part II.
Conference: ESORICS European Symposium On Research In Computer Security

Grosse, Kathrin and Manoharan, Praveen and Papernot, Nicolas and Backes, Michael and McDaniel, Patrick
(2017) On the (Statistical) Detection of Adversarial Examples.
CoRR, abs/17.
(Submitted)

Grosse, Kathrin and Vreeken, Jilles
(2017) Summarising Event Sequences using Serial Episodes and an Ontology.
In: Proceedings of the 4th Workshop on Interactions between Data Mining and Natural Language Processing (DMNLP).

Backes, Michael and Manoharan, Praveen and Grosse, Kathrin and Papernot, Nicolas
(2016) Adversarial Perturbations Against Deep Neural Networks for Malware Classification.
The Computing Research Repository (CoRR), abs/16.

Grosse, Kathrin and González, María Paula and Chesñevar, Carlos Iván and Maguitman, Ana Gabriela
(2015) Integrating argumentation and sentiment analysis for mining opinions from Twitter.
AI Commun., 28 (3). pp. 387-401.

Chesñevar, Carlos Iván and González, María Paula and Grosse, Kathrin and Maguitman, Ana Gabriela
(2013) A First Approach to Mining Opinions as Multisets through Argumentation.
In: AT.

Grosse, Kathrin and Chesñevar, Carlos Iván and Maguitman, Ana Gabriela
(2012) An Argument-based Approach to Mining Opinions from Twitter.
In: AT.

Grosse, Kathrin and Chesñevar, Carlos Iván and Maguitman, Ana Gabriela and Estevez, Elsa
(2012) Empowering an E-Government Platform Through Twitter-Based Arguments.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 15 (50). pp. 46-56.

This list was generated on Sat Jun 25 00:04:56 2022 CEST.