Luis Muñoz-González

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 36

Top Topics

Anomaly Detection

Top Venues

IEEE Trans. Dependable Secur. Comput.

ACM Trans. Sens. Networks

Publications

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 (2023)
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 (2023)
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) (2023)
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)
Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Emil C. Lupu
Real-time Detection of Practical Universal Adversarial Perturbations. CoRR (2021)
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)
Stefán Páll Sturluson, Samuel Trew, Luis Muñoz-González, Matei Grama, Jonathan Passerat-Palmbach, Daniel Rueckert, Amir Alansary
FedRAD: Federated Robust Adaptive Distillation. CoRR (2021)
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)
Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Ben Glocker, Emil C. Lupu
Universal Adversarial Robustness of Texture and Shape-Biased Models. ICIP (2021)
Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu
Regularization Can Help Mitigate Poisoning Attacks... with the Right Hyperparameters. CoRR (2021)
Raphael Labaca Castro, Luis Muñoz-González, Feargus Pendlebury, Gabi Dreo Rodosek, Fabio Pierazzi, Lorenzo Cavallaro
Universal Adversarial Perturbations for Malware. CoRR (2021)
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 (2020)
Zhongyuan Hau, Soteris Demetriou, Luis Muñoz-González, Emil C. Lupu
GhostBuster: Looking Into Shadows to Detect Ghost Objects in Autonomous Vehicle 3D Sensing. CoRR (2020)
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 (2020)
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 (2020)
Jukka Soikkeli, Luis Muñoz-González, Emil C. Lupu
Efficient attack countermeasure selection accounting for recovery and action costs. CoRR (2019)
Luis Muñoz-González, Bjarne Pfitzner, Matteo Russo, Javier Carnerero-Cano, Emil C. Lupu
Poisoning Attacks with Generative Adversarial Nets. CoRR (2019)
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)
Jukka Soikkeli, Luis Muñoz-González, Emil Lupu
Efficient Attack Countermeasure Selection Accounting for Recovery and Action Costs. ARES (2019)
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 (2019)
Kenneth T. Co, Luis Muñoz-González, Emil C. Lupu
Sensitivity of Deep Convolutional Networks to Gabor Noise. CoRR (2019)
Greg Collinge, Emil C. Lupu, Luis Muñoz-González
Defending against poisoning attacks in online learning settings. ESANN (2019)
Luis Muñoz-González, Kenneth T. Co, Emil C. Lupu
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging. CoRR (2019)
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 (2018)
Andrea Paudice, Luis Muñoz-González, András György, Emil C. Lupu
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection. CoRR (2018)
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) (2018)
Kenneth T. Co, Luis Muñoz-González, Emil C. Lupu
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Neural Networks. CoRR (2018)
Ziyi Bao, Luis Muñoz-González, Emil C. Lupu
Mitigation of Adversarial Attacks through Embedded Feature Selection. CoRR (2018)
Andrea Paudice, Luis Muñoz-González, Emil C. Lupu
Label Sanitization against Label Flipping Poisoning Attacks. CoRR (2018)
Andrea Paudice, Luis Muñoz-González, Emil C. Lupu
Label Sanitization Against Label Flipping Poisoning Attacks. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML (2018)
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) (2017)
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)
Luis Muñoz-González, Daniele Sgandurra, Andrea Paudice, Emil C. Lupu
Efficient Attack Graph Analysis through Approximate Inference. ACM Trans. Priv. Secur. 20 (3) (2017)
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 (2017)
Luis Muñoz-González, Daniele Sgandurra, Andrea Paudice, Emil C. Lupu
Efficient Attack Graph Analysis through Approximate Inference. CoRR (2016)
Daniele Sgandurra, Luis Muñoz-González, Rabih Mohsen, Emil C. Lupu
Automated Dynamic Analysis of Ransomware: Benefits, Limitations and use for Detection. CoRR (2016)
Luis Muñoz-González, Daniele Sgandurra, Martín Barrère, Emil C. Lupu
Exact Inference Techniques for the Dynamic Analysis of Attack Graphs. CoRR (2015)