Seuraa
Raphael Labaca-Castro
Raphael Labaca-Castro
Google X | Research Institute CODE
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Viittaukset
Viittaukset
Vuosi
AIMED: Evolving Malware with Genetic Programming to Evade Detection
R Labaca-Castro, C Schmitt, G Dreo
2019 18th IEEE International Conference On Trust, Security And Privacy In …, 2019
612019
IoT-Botnet Detection and Isolation by Access Routers
C Dietz, R Labaca-Castro, J Steinberger, C Wilczak, M Antzek, A Sperotto, ...
2018 9th International Conference on the Network of the Future (NOF), 88-95, 2018
492018
ARMED: How Automatic Malware Modifications Can Evade Static Detection?
R Labaca-Castro, C Schmitt, GD Rodosek
2019 5th International Conference on Information Management (ICIM), 20-27, 2019
482019
AIMED-RL: Exploring adversarial malware examples with reinforcement learning
R Labaca-Castro, S Franz, GD Rodosek
Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021
282021
Realizable Universal Adversarial Perturbations for Malware
R Labaca-Castro, L Muñoz-González, F Pendlebury, GD Rodosek, ...
arXiv preprint arXiv:2102.06747, 2022
252022
Attacking Malware Classifiers by Crafting Gradient-Attacks that Preserve Functionality
R Labaca-Castro, B Biggio, G Dreo Rodosek
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019
212019
OpenMTD: A framework for efficient network-level MTD evaluation
R Poschinger, N Rodday, R Labaca-Castro, G Dreo Rodosek
Proceedings of the 7th ACM Workshop on Moving Target Defense, 31-41, 2020
82020
Training GANs to Generate Adversarial Examples Against Malware Classification
R Labaca-Castro, C Schmitt, GD Rodosek
2019 IEEE Symposium on Security and Privacy (S&P) {Poster}, 2019
5*2019
Machine Learning under Malware Attack
R Labaca-Castro
Springer Nature, 2023
22023
Secrecy and Sensitivity: Privacy-Performance Trade-Offs in Encrypted Traffic Classification
S Giddens, R Labaca-Castro, D Zhao, S Guasch, P Mishra, N Gama
NeurIPS 2023 Workshop MLSys, 2023
2023
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