Items where Author is "Grosse, Kathrin"

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Number of items: 14.

Conference or Workshop Item (A Paper)

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 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 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).

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.

Article

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.

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

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.

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.

Other

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
.

This list was generated on Mon May 23 00:04:40 2022 CEST.