Number of items: 15.
Bieringer, Lukas and Grosse, Kathrin and Backes, Michael and Biggio, Battista and Krombholz, Katharina
(2022)
Industrial practitioners' mental models of adversarial machine learning.
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.
Grosse, Kathrin and Backes, Michael
(2021)
Do winning tickets exist before DNN training?
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.
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.
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.
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.
Grosse, Kathrin and Chesñevar, Carlos Iván and Maguitman, Ana Gabriela
(2012)
An Argument-based Approach to Mining Opinions from Twitter.
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 Thu Apr 25 13:40:47 2024 CEST.
