Raphael Labaca Castro

According to our database, Raphael Labaca Castro authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Machine learning under malware attack.

Raphael Labaca Castro

PhD thesis, 2023

2021

Universal Adversarial Perturbations for Malware.

Raphael Labaca Castro, Luis Muñoz-González, Feargus Pendlebury, Gabi Dreo Rodosek, Fabio Pierazzi, Lorenzo Cavallaro

CoRR, 2021

AIMED-RL: Exploring Adversarial Malware Examples with Reinforcement Learning.

Raphael Labaca Castro, Sebastian Franz, Gabi Dreo Rodosek

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

2020

OpenMTD: A Framework for Efficient Network-Level MTD Evaluation.

Richard Poschinger, Nils Rodday, Raphael Labaca Castro, Gabi Dreo Rodosek

Proceedings of the 7th ACM Workshop on Moving Target Defense, 2020

2019

AIMED: Evolving Malware with Genetic Programming to Evade Detection.

Raphael Labaca Castro, Corinna Schmitt, Gabi Dreo

Proceedings of the 18th IEEE International Conference On Trust, 2019

Topology Update Algorithm for Wireless Networks.

Klement Streit, Raphael Labaca Castro, Nils Rodday, Gabi Dreo Rodosek

Proceedings of the 16th IEEE International Conference on Mobile Ad Hoc and Sensor Systems Workshops, 2019

Evaluating TCP Connection Healthiness.

Nils Rodday, Raphael Labaca Castro, Klement Streit, Gabi Dreo Rodosek

Proceedings of the 29th International Telecommunication Networks and Applications Conference, 2019

Poster: Attacking Malware Classifiers by Crafting Gradient-Attacks that Preserve Functionality.

Raphael Labaca Castro, Battista Biggio, Gabi Dreo Rodosek

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018

IoT-Botnet Detection and Isolation by Access Routers.

Christian Dietz, Raphael Labaca Castro, Jessica Steinberger, Cezary Wilczak, Marcel Antzek, Anna Sperotto, Aiko Pras

Proceedings of the 9th International Conference on the Network of the Future, 2018

Black Box Attacks using Adversarial Samples against Machine Learning Malware Classification to Improve Detection.

Raphael Labaca Castro, Gabi Dreo Rodosek

Proceedings of the 12th International Conference on Autonomous Infrastructure, 2018