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ORCIDLuis Muñoz-González
Person information
- affiliation: Telefónica Research, Spain
- affiliation: Imperial College London, UK
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Journal Articles
- 2023
[j8]Han Wang
, Luis Muñoz-González, Muhammad Zaid Hameed, David Eklund, Shahid Raza:
SparSFA: Towards robust and communication-efficient peer-to-peer federated learning. Comput. Secur. 129: 103182 (2023)- [j7]Jukka Soikkeli, Giuliano Casale, Luis Muñoz-González, Emil C. Lupu:
Redundancy Planning for Cost Efficient Resilience to Cyber Attacks. IEEE Trans. Dependable Secur. Comput. 20(2): 1154-1168 (2023) - 2019
- [j6]Luis Munoz-Gonzalez, Daniele Sgandurra, Martín Barrère, Emil C. Lupu:
Exact Inference Techniques for the Analysis of Bayesian Attack Graphs. IEEE Trans. Dependable Secur. Comput. 16(2): 231-244 (2019) - 2018
- [j5]Vittorio P. Illiano, Andrea Paudice, Luis Muñoz-González, Emil C. Lupu:
Determining Resilience Gains From Anomaly Detection for Event Integrity in Wireless Sensor Networks. ACM Trans. Sens. Networks 14(1): 5:1-5:35 (2018) - 2017
- [j4]Vittorio P. Illiano, Luis Muñoz-González, Emil C. Lupu:
Don't fool Me!: Detection, Characterisation and Diagnosis of Spoofed and Masked Events in Wireless Sensor Networks. IEEE Trans. Dependable Secur. Comput. 14(3): 279-293 (2017) - [j3]Luis Muñoz-González, Daniele Sgandurra, Andrea Paudice, Emil C. Lupu:
Efficient Attack Graph Analysis through Approximate Inference. ACM Trans. Priv. Secur. 20(3): 10:1-10:30 (2017) - 2016
- [j2]Luis Munoz-Gonzalez, Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal:
Laplace Approximation for Divisive Gaussian Processes for Nonstationary Regression. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 618-624 (2016) - 2014
- [j1]Luis Munoz-Gonzalez, Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal:
Divisive Gaussian Processes for Nonstationary Regression. IEEE Trans. Neural Networks Learn. Syst. 25(11): 1991-2003 (2014)
Conference and Workshop Papers
- 2022
- [c11]Luca Maria Castiglione, Zhongyuan Hau, Pudong Ge, Kenneth T. Co, Luis Muñoz-González, Fei Teng, Emil Lupu:
HA-Grid: Security Aware Hazard Analysis for Smart Grids. SmartGridComm 2022: 446-452 - 2021
- [c10]Zhongyuan Hau, Soteris Demetriou, Luis Muñoz-González, Emil C. Lupu:
Shadow-Catcher: Looking into Shadows to Detect Ghost Objects in Autonomous Vehicle 3D Sensing. ESORICS (1) 2021: 691-711 - [c9]Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Ben Glocker, Emil C. Lupu:
Universal Adversarial Robustness of Texture and Shape-Biased Models. ICIP 2021: 799-803 - [c8]Han Wang, Luis Muñoz-González, David Eklund, Shahid Raza:
Non-IID data re-balancing at IoT edge with peer-to-peer federated learning for anomaly detection. WISEC 2021: 153-163 - 2019
- [c7]Jukka Soikkeli, Luis Muñoz-González, Emil Lupu:
Efficient Attack Countermeasure Selection Accounting for Recovery and Action Costs. ARES 2019: 3:1-3:10 - [c6]Kenneth T. Co, Luis Muñoz-González, Sixte de Maupeou, Emil C. Lupu:
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks. CCS 2019: 275-289 - [c5]Greg Collinge, Emil C. Lupu, Luis Muñoz-González:
Defending against poisoning attacks in online learning settings. ESANN 2019 - 2018
- [c4]Andrea Paudice, Luis Muñoz-González, Emil C. Lupu:
Label Sanitization Against Label Flipping Poisoning Attacks. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: 5-15 - 2017
- [c3]Luis Muñoz-González, Battista Biggio, Ambra Demontis, Andrea Paudice, Vasin Wongrassamee, Emil C. Lupu, Fabio Roli:
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization. AISec@CCS 2017: 27-38 - 2014
- [c2]Luis Munoz-Gonzalez, Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal:
Laplace approximation with Gaussian Processes for volatility forecasting. CIP 2014: 1-6 - 2011
- [c1]Luis Munoz-Gonzalez, Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal:
Heteroscedastic Gaussian process regression using expectation propagation. MLSP 2011: 1-6
Parts in Books or Collections
- 2022
- [p2]Susanna Bonura, Davide Dalle Carbonare, Roberto Díaz-Morales, Marcos Fernández Díaz, Lucrezia Morabito, Luis Muñoz-González, Chiara Napione, Ángel Navia-Vázquez, Mark Purcell:
Privacy-Preserving Technologies for Trusted Data Spaces. Technologies and Applications for Big Data Value 2022: 111-134 - [p1]Ambrish Rawat, Giulio Zizzo, Muhammad Zaid Hameed, Luis Muñoz-González:
Security and Robustness in Federated Learning. Federated Learning 2022: 363-390
Informal and Other Publications
- 2023
- [i23]Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu:
Hyperparameter Learning under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization. CoRR abs/2306.01613 (2023) - 2021
- [i22]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) - [i21]Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Emil C. Lupu:
Real-time Detection of Practical Universal Adversarial Perturbations. CoRR abs/2105.07334 (2021) - [i20]Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu:
Regularization Can Help Mitigate Poisoning Attacks... with the Right Hyperparameters. CoRR abs/2105.10948 (2021) - [i19]Stefán Páll Sturluson, Samuel Trew, Luis Muñoz-González, Matei Grama, Jonathan Passerat-Palmbach, Daniel Rueckert, Amir Alansary:
FedRAD: Federated Robust Adaptive Distillation. CoRR abs/2112.01405 (2021) - 2020
- [i18]Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu:
Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation. CoRR abs/2003.00040 (2020) - [i17]Zhongyuan Hau, Soteris Demetriou, Luis Muñoz-González, Emil C. Lupu:
GhostBuster: Looking Into Shadows to Detect Ghost Objects in Autonomous Vehicle 3D Sensing. CoRR abs/2008.12008 (2020) - [i16]Matei Grama, Maria Musat, Luis Muñoz-González, Jonathan Passerat-Palmbach, Daniel Rueckert, Amir Alansary:
Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare. CoRR abs/2009.08294 (2020) - [i15]Alberto G. Matachana, Kenneth T. Co, Luis Muñoz-González, David Martínez-Rego, Emil C. Lupu:
Robustness and Transferability of Universal Attacks on Compressed Models. CoRR abs/2012.06024 (2020) - 2019
- [i14]Jukka Soikkeli, Luis Muñoz-González, Emil C. Lupu:
Efficient attack countermeasure selection accounting for recovery and action costs. CoRR abs/1904.03082 (2019) - [i13]Kenneth T. Co, Luis Muñoz-González, Emil C. Lupu:
Sensitivity of Deep Convolutional Networks to Gabor Noise. CoRR abs/1906.03455 (2019) - [i12]Luis Muñoz-González, Bjarne Pfitzner, Matteo Russo, Javier Carnerero-Cano, Emil C. Lupu:
Poisoning Attacks with Generative Adversarial Nets. CoRR abs/1906.07773 (2019) - [i11]Luis Muñoz-González, Kenneth T. Co, Emil C. Lupu:
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging. CoRR abs/1909.05125 (2019) - [i10]Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Ben Glocker, Emil C. Lupu:
Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training. CoRR abs/1911.10364 (2019) - 2018
- [i9]Andrea Paudice, Luis Muñoz-González, András György, Emil C. Lupu:
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection. CoRR abs/1802.03041 (2018) - [i8]Andrea Paudice, Luis Muñoz-González, Emil C. Lupu:
Label Sanitization against Label Flipping Poisoning Attacks. CoRR abs/1803.00992 (2018) - [i7]Alexander Kott, Benjamin A. Blakely, Diane Henshel, Gregory Wehner, James Rowell, Nathaniel Evans, Luis Muñoz-González, Nandi Leslie, Donald W. French, Donald Woodard, Kerry Krutilla, Amanda Joyce, Igor Linkov, Carmen Mas Machuca, Janos Sztipanovits, Hugh Harney, Dennis Kergl, Perri Nejib, Edward Yakabovicz, Steven Noel, Tim Dudman, Pierre Trepagnier, Sowdagar Badesha, Alfred Møller:
Approaches to Enhancing Cyber Resilience: Report of the North Atlantic Treaty Organization (NATO) Workshop IST-153. CoRR abs/1804.07651 (2018) - [i6]Ziyi Bao, Luis Muñoz-González, Emil C. Lupu:
Mitigation of Adversarial Attacks through Embedded Feature Selection. CoRR abs/1808.05705 (2018) - [i5]Kenneth T. Co, Luis Muñoz-González, Emil C. Lupu:
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Neural Networks. CoRR abs/1810.00470 (2018) - 2017
- [i4]Luis Muñoz-González, Battista Biggio, Ambra Demontis, Andrea Paudice, Vasin Wongrassamee, Emil C. Lupu, Fabio Roli:
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization. CoRR abs/1708.08689 (2017) - 2016
- [i3]Luis Muñoz-González, Daniele Sgandurra, Andrea Paudice, Emil C. Lupu:
Efficient Attack Graph Analysis through Approximate Inference. CoRR abs/1606.07025 (2016) - [i2]Daniele Sgandurra, Luis Muñoz-González, Rabih Mohsen, Emil C. Lupu:
Automated Dynamic Analysis of Ransomware: Benefits, Limitations and use for Detection. CoRR abs/1609.03020 (2016) - 2015
- [i1]Luis Muñoz-González, Daniele Sgandurra, Martín Barrère, Emil C. Lupu:
Exact Inference Techniques for the Dynamic Analysis of Attack Graphs. CoRR abs/1510.02427 (2015)
Coauthor Index
aka: Emil Lupu
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