Luis Muñoz-González
Luis Muñoz-González
Senior Research Scientist, Telefónica Research
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Towards poisoning of deep learning algorithms with back-gradient optimization
L Muñoz-González, B Biggio, A Demontis, A Paudice, V Wongrassamee, ...
Proceedings of the 10th ACM workshop on artificial intelligence and security …, 2017
Automated dynamic analysis of ransomware: Benefits, limitations and use for detection
D Sgandurra, L Muñoz-González, R Mohsen, EC Lupu
arXiv preprint arXiv:1609.03020, 2016
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging
L Muñoz-González, KT Co, EC Lupu
arXiv preprint arXiv:1902.05083, 2019
Label Sanitization against Label Flipping Poisoning Attacks
A Paudice, L Muñoz-González, EC Lupu
arXiv preprint: arXiv:1803.00992, 2018
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection
A Paudice, L Muñoz-González, A Gyorgy, EC Lupu
arXiv preprint: arXiv:1802.03041, 2018
Exact inference techniques for the analysis of Bayesian attack graphs
L Muñoz-González, D Sgandurra, M Barrère, EC Lupu
IEEE Transactions on Dependable and Secure Computing 16 (2), 231-244, 2017
Poisoning attacks with generative adversarial nets
L Muñoz-González, B Pfitzner, M Russo, J Carnerero-Cano, EC Lupu
arXiv preprint arXiv:1906.07773, 2019
Efficient Attack Graph Analysis through Approximate Inference
L Muñoz-González, D Sgandurra, A Paudice, EC Lupu
ACM Transactions on Privacy and Security (TOPS) 20 (3), 10, 2017
Non-IID data re-balancing at IoT edge with peer-to-peer federated learning for anomaly detection
H Wang, L Muñoz-González, D Eklund, S Raza
Proceedings of the 14th ACM conference on security and privacy in wireless …, 2021
Procedural noise adversarial examples for black-box attacks on deep convolutional networks
KT Co, L Muñoz-González, S de Maupeou, EC Lupu
Proceedings of the 2019 ACM SIGSAC conference on computer and communications …, 2019
Robust aggregation for adaptive privacy preserving federated learning in healthcare
M Grama, M Musat, L Muñoz-González, J Passerat-Palmbach, D Rueckert, ...
arXiv preprint arXiv:2009.08294, 2020
The security of machine learning systems
L Muñoz-González, EC Lupu
AI in Cybersecurity, 47-79, 2019
Don't fool me!: detection, characterisation and diagnosis of spoofed and masked events in wireless sensor networks
VP Illiano, L Muñoz-González, EC Lupu
IEEE Transactions on Dependable and Secure Computing 14 (3), 279-293, 2016
Heteroscedastic Gaussian process regression using expectation propagation
L Muñoz-González, M Lázaro-Gredilla, AR Figueiras-Vidal
2011 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2011
Realizable universal adversarial perturbations for malware
R Labaca-Castro, L Muñoz-González, F Pendlebury, GD Rodosek, ...
arXiv preprint arXiv:2102.06747, 2021
Shadow-catcher: Looking into shadows to detect ghost objects in autonomous vehicle 3d sensing
Z Hau, S Demetriou, L Muñoz-González, EC Lupu
Computer Security–ESORICS 2021: 26th European Symposium on Research in …, 2021
Approaches to enhancing cyber resilience: Report of the north atlantic treaty organization (NATO) workshop IST-153
A Kott, B Blakely, D Henshel, G Wehner, J Rowell, N Evans, ...
arXiv preprint arXiv:1804.07651, 2018
Laplace approximation for divisive Gaussian processes for nonstationary regression
L Munoz-Gonzalez, M Lazaro-Gredilla, AR Figueiras-Vidal
IEEE transactions on pattern analysis and machine intelligence 38 (3), 618-624, 2015
Divisive Gaussian processes for nonstationary regression
L Muñoz-González, M Lázaro-Gredilla, AR Figueiras-Vidal
IEEE Transactions On Neural Networks and Learning Systems 25 (11), 1991-2003, 2014
Bayesian attack graphs for security risk assessment
L Munoz-González, EC Lupu
IST-153 Workshop on Cyber Resilience, 2016
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