Heteroscedastic Gaussian process regression using expectation propagation. - Luis Munoz-Gonzalez; Miguel Lázaro-Gredilla; Aníbal R. Figueiras-Vidal (MLSP, 2011)

Laplace approximation with Gaussian Processes for volatility forecasting. - Luis Munoz-Gonzalez; Miguel Lázaro-Gredilla; Aníbal R. Figueiras-Vidal (CIP, 2014)

Divisive Gaussian Processes for Nonstationary Regression. - Luis Munoz-Gonzalez; Miguel Lázaro-Gredilla; Aníbal R. Figueiras-Vidal (IEEE Trans. Neural Networks Learn. Syst., 2014)

Exact Inference Techniques for the Dynamic Analysis of Attack Graphs. - Luis Muñoz-González; Daniele Sgandurra; Martín Barrère; Emil C. Lupu (CoRR, 2015)

Automated Dynamic Analysis of Ransomware: Benefits, Limitations and use for Detection. - Daniele Sgandurra; Luis Muñoz-González; Rabih Mohsen; Emil C. Lupu (CoRR, 2016)

Laplace Approximation for Divisive Gaussian Processes for Nonstationary Regression. - Luis Munoz-Gonzalez; Miguel Lázaro-Gredilla; Aníbal R. Figueiras-Vidal (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization. - Luis Muñoz-González; Battista Biggio; Ambra Demontis; Andrea Paudice; Vasin Wongrassamee; Emil C. Lupu; Fabio Roli (AISec@CCS, 2017)

Don't fool Me!: Detection, Characterisation and Diagnosis of Spoofed and Masked Events in Wireless Sensor Networks. - Vittorio P. Illiano; Luis Muñoz-González; Emil C. Lupu (IEEE Trans. Dependable Secur. Comput., 2017)

Efficient Attack Graph Analysis through Approximate Inference. - Luis Muñoz-González; Daniele Sgandurra; Andrea Paudice; Emil C. Lupu (ACM Trans. Priv. Secur., 2017)

Label Sanitization Against Label Flipping Poisoning Attacks. - Andrea Paudice; Luis Muñoz-González; Emil C. Lupu (Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, 2018)

Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection. - Andrea Paudice; Luis Muñoz-González; András György 001; Emil C. Lupu (CoRR, 2018)

Approaches to Enhancing Cyber Resilience: Report of the North Atlantic Treaty Organization (NATO) Workshop IST-153. - 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; et al. (CoRR, 2018)

Mitigation of Adversarial Attacks through Embedded Feature Selection. - Ziyi Bao; Luis Muñoz-González; Emil C. Lupu (CoRR, 2018)

Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Neural Networks. - Kenneth T. Co; Luis Muñoz-González; Emil C. Lupu (CoRR, 2018)

Determining Resilience Gains From Anomaly Detection for Event Integrity in Wireless Sensor Networks. - Vittorio P. Illiano; Andrea Paudice; Luis Muñoz-González; Emil C. Lupu (ACM Trans. Sens. Networks, 2018)

Efficient Attack Countermeasure Selection Accounting for Recovery and Action Costs. - Jukka Soikkeli; Luis Muñoz-González; Emil Lupu (ARES, 2019)

Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks. - Kenneth T. Co; Luis Muñoz-González; Sixte de Maupeou; Emil C. Lupu (CCS, 2019)

Defending against poisoning attacks in online learning settings. - Greg Collinge; Emil C. Lupu; Luis Muñoz-González (ESANN, 2019)

Sensitivity of Deep Convolutional Networks to Gabor Noise. - Kenneth T. Co; Luis Muñoz-González; Emil C. Lupu (CoRR, 2019)

Poisoning Attacks with Generative Adversarial Nets. - Luis Muñoz-González; Bjarne Pfitzner; Matteo Russo 003; Javier Carnerero-Cano; Emil C. Lupu (CoRR, 2019)

Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging. - Luis Muñoz-González; Kenneth T. Co; Emil C. Lupu (CoRR, 2019)

Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training. - Kenneth T. Co; Luis Muñoz-González; Leslie Kanthan; Ben Glocker; Emil C. Lupu (CoRR, 2019)

Exact Inference Techniques for the Analysis of Bayesian Attack Graphs. - Luis Munoz-Gonzalez; Daniele Sgandurra; Martín Barrère; Emil C. Lupu (IEEE Trans. Dependable Secur. Comput., 2019)

Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation. - Javier Carnerero-Cano; Luis Muñoz-González; Phillippa Spencer; Emil C. Lupu (CoRR, 2020)

GhostBuster: Looking Into Shadows to Detect Ghost Objects in Autonomous Vehicle 3D Sensing. - Zhongyuan Hau; Soteris Demetriou; Luis Muñoz-González; Emil C. Lupu (CoRR, 2020)

Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare. - Matei Grama; Maria Musat; Luis Muñoz-González; Jonathan Passerat-Palmbach; Daniel Rueckert; Amir Alansary (CoRR, 2020)

Robustness and Transferability of Universal Attacks on Compressed Models. - Alberto G. Matachana; Kenneth T. Co; Luis Muñoz-González; David Martínez-Rego; Emil C. Lupu (CoRR, 2020)

Shadow-Catcher: Looking into Shadows to Detect Ghost Objects in Autonomous Vehicle 3D Sensing. - Zhongyuan Hau; Soteris Demetriou; Luis Muñoz-González; Emil C. Lupu (ESORICS (1), 2021)

Universal Adversarial Robustness of Texture and Shape-Biased Models. - Kenneth T. Co; Luis Muñoz-González; Leslie Kanthan; Ben Glocker; Emil C. Lupu (ICIP, 2021)

Non-IID data re-balancing at IoT edge with peer-to-peer federated learning for anomaly detection. - Han Wang 031; Luis Muñoz-González; David Eklund; Shahid Raza (WISEC, 2021)

Universal Adversarial Perturbations for Malware. - Raphael Labaca Castro; Luis Muñoz-González; Feargus Pendlebury; Gabi Dreo Rodosek; Fabio Pierazzi; Lorenzo Cavallaro (CoRR, 2021)

Real-time Detection of Practical Universal Adversarial Perturbations. - Kenneth T. Co; Luis Muñoz-González; Leslie Kanthan; Emil C. Lupu (CoRR, 2021)

Regularization Can Help Mitigate Poisoning Attacks... with the Right Hyperparameters. - Javier Carnerero-Cano; Luis Muñoz-González; Phillippa Spencer; Emil C. Lupu (CoRR, 2021)

FedRAD: Federated Robust Adaptive Distillation. - Stefán Páll Sturluson; Samuel Trew; Luis Muñoz-González; Matei Grama; Jonathan Passerat-Palmbach; Daniel Rueckert; Amir Alansary (CoRR, 2021)

Privacy-Preserving Technologies for Trusted Data Spaces. - Susanna Bonura; Davide Dalle Carbonare; Roberto Díaz-Morales; Marcos Fernández Díaz; Lucrezia Morabito; Luis Muñoz-González; Chiara Napione; Ángel Navia-Vázquez; Mark Purcell (Technologies and Applications for Big Data Value, 2022)

Security and Robustness in Federated Learning. - Ambrish Rawat; Giulio Zizzo; Muhammad Zaid Hameed; Luis Muñoz-González (Federated Learning, 2022)

HA-Grid: Security Aware Hazard Analysis for Smart Grids. - Luca Maria Castiglione; Zhongyuan Hau; Pudong Ge; Kenneth T. Co; Luis Muñoz-González; Fei Teng 005; Emil Lupu (SmartGridComm, 2022)

Redundancy Planning for Cost Efficient Resilience to Cyber Attacks. - Jukka Soikkeli; Giuliano Casale; Luis Muñoz-González; Emil C. Lupu (IEEE Trans. Dependable Secur. Comput., 2023)

SparSFA: Towards robust and communication-efficient peer-to-peer federated learning. - Han Wang 031; Luis Muñoz-González; Muhammad Zaid Hameed; David Eklund; Shahid Raza (Comput. Secur., 2023)

Nonideality-aware training makes memristive networks more robust to adversarial attacks. - Dovydas Joksas; Luis Muñoz-González; Emil Lupu; Adnan Mehonic (CoRR, 2024)

Hyperparameter Learning Under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization. - Javier Carnerero-Cano; Luis Muñoz-González; Phillippa Spencer; Emil C. Lupu (IEEE Trans. Neural Networks Learn. Syst., 2024)