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Raphael Labaca Castro
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2020 – today
- 2023
- [b1]Raphael Labaca Castro:
Machine learning under malware attack. Bundeswehr University Munich, Neubiberg (Munich), Germany, Springer Vieweg 2023, ISBN 978-3-658-40441-3, pp. 1-116 - 2021
- [c8]Raphael Labaca Castro, Sebastian Franz
, Gabi Dreo Rodosek:
AIMED-RL: Exploring Adversarial Malware Examples with Reinforcement Learning. ECML/PKDD (4) 2021: 37-52 - [i1]Raphael Labaca Castro, Luis Muñoz-González, Feargus Pendlebury, Gabi Dreo Rodosek, Fabio Pierazzi, Lorenzo Cavallaro:
Universal Adversarial Perturbations for Malware. CoRR abs/2102.06747 (2021) - 2020
- [c7]Richard Poschinger, Nils Rodday, Raphael Labaca Castro, Gabi Dreo Rodosek:
OpenMTD: A Framework for Efficient Network-Level MTD Evaluation. MTD@CCS 2020: 31-41
2010 – 2019
- 2019
- [c6]Raphael Labaca Castro, Battista Biggio, Gabi Dreo Rodosek:
Poster: Attacking Malware Classifiers by Crafting Gradient-Attacks that Preserve Functionality. CCS 2019: 2565-2567 - [c5]Nils Rodday, Raphael Labaca Castro, Klement Streit, Gabi Dreo Rodosek:
Evaluating TCP Connection Healthiness. ITNAC 2019: 1-4 - [c4]Klement Streit, Raphael Labaca Castro, Nils Rodday, Gabi Dreo Rodosek:
Topology Update Algorithm for Wireless Networks. MASS Workshops 2019: 184-185 - [c3]Raphael Labaca Castro, Corinna Schmitt, Gabi Dreo:
AIMED: Evolving Malware with Genetic Programming to Evade Detection. TrustCom/BigDataSE 2019: 240-247 - 2018
- [c2]Raphael Labaca Castro, Gabi Dreo Rodosek:
Black Box Attacks using Adversarial Samples against Machine Learning Malware Classification to Improve Detection. AIMS 2018: 16-20 - [c1]Christian Dietz, Raphael Labaca Castro, Jessica Steinberger, Cezary Wilczak, Marcel Antzek, Anna Sperotto, Aiko Pras:
IoT-Botnet Detection and Isolation by Access Routers. NOF 2018: 88-95
Coauthor Index
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