Luis Muñoz-González
Luis Muñoz-González
Research Associate, Imperial College London
Verified email at imperial.ac.uk - Homepage
TitleCited byYear
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
412017
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
41*2016
Exact inference techniques for the analysis of Bayesian attack graphs
L Munoz-González, D Sgandurra, M Barrere, E Lupu
IEEE Transactions on Dependable and Secure Computing, 2017
21*2017
Heteroscedastic Gaussian process regression using expectation propagation
L Muñoz-González, M Lázaro-Gredilla, AR Figueiras-Vidal
Machine Learning for Signal Processing (MLSP), 2011 IEEE International …, 2011
102011
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
82017
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
82014
Label Sanitization against Label Flipping Poisoning Attacks
A Paudice, L Muñoz-González, EC Lupu
arXiv preprint: arXiv:1803.00992, 2018
52018
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
52018
Don't fool Me!: Detection, Characterisation and Diagnosis of Spoofed and Masked Events in Wireless Sensor Networks.
VP Illiano, L Munoz-González, EC Lupu
IEEE Trans. Dependable Sec. Comput. 14 (3), 279-293, 2017
52017
Laplace approximation for divisive Gaussian processes for nonstationary regression
L Munoz-Gonzalez, M Lazaro-Gredilla, AR Figueiras-Vidal
IEEE Transactions on Pattern Analysis & Machine Intelligence, 618-624, 2016
52016
The Secret of Machine Learning
L Muñoz-González, EC Lupu
ITNow 60 (1), 38-39, 2018
22018
Bayesian attack graphs for security risk assessment
L Munoz Gonzalez, E Lupu
22016
Determining Resilience Gains From Anomaly Detection for Event Integrity in Wireless Sensor Networks
VP Illiano, A Paudice, L Muñoz-González, E Lupu
ACM Transactions on Sensor Networks 14 (1), 2018
12018
The Security of Machine Learning Systems
L Muñoz-González, EC Lupu
AI in Cybersecurity, 47-79, 2019
2019
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Neural Networks
KT Co, L Muñoz-González, EC Lupu
arXiv preprint arXiv:1810.00470, 2018
2018
Mitigation of Adversarial Attacks through Embedded Feature Selection
Z Bao, L Muñoz-González, EC Lupu
arXiv preprint arXiv:1808.05705, 2018
2018
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
2018
Bayesian Optimization for Black-Box Evasion of Machine Learning Systems
L Munoz-González
Imperial College London, 2017
2017
Can you Poison a Machine Learning Algorithm?
V Wongrassamee, L Muñoz-González
2017
Laplace approximation with Gaussian Processes for volatility forecasting
L Munoz-Gonzalez, M Lazaro-Gredilla, AR Figueiras-Vidal
Cognitive Information Processing (CIP), 2014 4th International Workshop on, 1-6, 2014
2014
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