Luis Muñoz-González

42 papers A* 1B 3Journal 31Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Stealthy Poisoning Attacks Bypass Defenses in Regression Settings. CoRR Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu
2024	J	`jnl`	Hyperparameter Learning Under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization. IEEE Trans. Neural Networks Learn. Syst. Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu
2024	J	`jnl`	Nonideality-aware training makes memristive networks more robust to adversarial attacks. CoRR Dovydas Joksas, Luis Muñoz-González, Emil Lupu, Adnan Mehonic
2023	J	`jnl`	Hyperparameter Learning under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization. CoRR Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu
2023	J	`jnl`	Redundancy Planning for Cost Efficient Resilience to Cyber Attacks. IEEE Trans. Dependable Secur. Comput. Jukka Soikkeli, Giuliano Casale, Luis Muñoz-González, Emil C. Lupu
2023	J	`jnl`	SparSFA: Towards robust and communication-efficient peer-to-peer federated learning. Comput. Secur. Han Wang, Luis Muñoz-González, Muhammad Zaid Hameed, David Eklund, Shahid Raza
2022	—	`conf`	HA-Grid: Security Aware Hazard Analysis for Smart Grids. SmartGridComm Luca Maria Castiglione, Zhongyuan Hau, Pudong Ge, Kenneth T. Co, Luis Muñoz-González, Fei Teng, Emil Lupu
2022	—	`ch.`	Privacy-Preserving Technologies for Trusted Data Spaces. Technologies and Applications for Big Data Value Susanna Bonura, Davide Dalle Carbonare, Roberto Díaz-Morales, Marcos Fernández Díaz, Lucrezia Morabito, Luis Muñoz-González, Chiara Napione, Ángel Navia-Vázquez, Mark Purcell
2022	—	`ch.`	Security and Robustness in Federated Learning. Federated Learning Ambrish Rawat, Giulio Zizzo, Muhammad Zaid Hameed, Luis Muñoz-González
2021	J	`jnl`	FedRAD: Federated Robust Adaptive Distillation. CoRR Stefán Páll Sturluson, Samuel Trew, Luis Muñoz-González, Matei Grama, Jonathan Passerat-Palmbach, Daniel Rueckert, Amir Alansary
2021	—	`conf`	Non-IID data re-balancing at IoT edge with peer-to-peer federated learning for anomaly detection. WISEC Han Wang, Luis Muñoz-González, David Eklund, Shahid Raza
2021	J	`jnl`	Real-time Detection of Practical Universal Adversarial Perturbations. CoRR Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Emil C. Lupu
2021	J	`jnl`	Regularization Can Help Mitigate Poisoning Attacks... with the Right Hyperparameters. CoRR Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu
2021	—	`conf`	Shadow-Catcher: Looking into Shadows to Detect Ghost Objects in Autonomous Vehicle 3D Sensing. ESORICS (1) Zhongyuan Hau, Soteris Demetriou, Luis Muñoz-González, Emil C. Lupu
2021	J	`jnl`	Universal Adversarial Perturbations for Malware. CoRR Raphael Labaca Castro, Luis Muñoz-González, Feargus Pendlebury, Gabi Dreo Rodosek, Fabio Pierazzi, Lorenzo Cavallaro
2021	B	`conf`	Universal Adversarial Robustness of Texture and Shape-Biased Models. ICIP Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Ben Glocker, Emil C. Lupu
2020	J	`jnl`	GhostBuster: Looking Into Shadows to Detect Ghost Objects in Autonomous Vehicle 3D Sensing. CoRR Zhongyuan Hau, Soteris Demetriou, Luis Muñoz-González, Emil C. Lupu
2020	J	`jnl`	Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation. CoRR Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu
2020	J	`jnl`	Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare. CoRR Matei Grama, Maria Musat, Luis Muñoz-González, Jonathan Passerat-Palmbach, Daniel Rueckert, Amir Alansary
2020	J	`jnl`	Robustness and Transferability of Universal Attacks on Compressed Models. CoRR Alberto G. Matachana, Kenneth T. Co, Luis Muñoz-González, David Martínez-Rego, Emil C. Lupu
2019	J	`jnl`	Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging. CoRR Luis Muñoz-González, Kenneth T. Co, Emil C. Lupu
2019	B	`conf`	Defending against poisoning attacks in online learning settings. ESANN Greg Collinge, Emil C. Lupu, Luis Muñoz-González
2019	B	`conf`	Efficient Attack Countermeasure Selection Accounting for Recovery and Action Costs. ARES Jukka Soikkeli, Luis Muñoz-González, Emil Lupu
2019	J	`jnl`	Efficient attack countermeasure selection accounting for recovery and action costs. CoRR Jukka Soikkeli, Luis Muñoz-González, Emil C. Lupu
2019	J	`jnl`	Poisoning Attacks with Generative Adversarial Nets. CoRR Luis Muñoz-González, Bjarne Pfitzner, Matteo Russo, Javier Carnerero-Cano, Emil C. Lupu
2019	A*	`conf`	Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks. CCS Kenneth T. Co, Luis Muñoz-González, Sixte de Maupeou, Emil C. Lupu
2019	J	`jnl`	Sensitivity of Deep Convolutional Networks to Gabor Noise. CoRR Kenneth T. Co, Luis Muñoz-González, Emil C. Lupu
2019	J	`jnl`	Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training. CoRR Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Ben Glocker, Emil C. Lupu
2018	J	`jnl`	Approaches to Enhancing Cyber Resilience: Report of the North Atlantic Treaty Organization (NATO) Workshop IST-153. CoRR 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
2018	J	`jnl`	Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection. CoRR Andrea Paudice, Luis Muñoz-González, András György, Emil C. Lupu
2018	J	`jnl`	Determining Resilience Gains From Anomaly Detection for Event Integrity in Wireless Sensor Networks. ACM Trans. Sens. Networks Vittorio P. Illiano, Andrea Paudice, Luis Muñoz-González, Emil C. Lupu
2018	—	`conf`	Label Sanitization Against Label Flipping Poisoning Attacks. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML Andrea Paudice, Luis Muñoz-González, Emil C. Lupu
2018	J	`jnl`	Label Sanitization against Label Flipping Poisoning Attacks. CoRR Andrea Paudice, Luis Muñoz-González, Emil C. Lupu
2018	J	`jnl`	Mitigation of Adversarial Attacks through Embedded Feature Selection. CoRR Ziyi Bao, Luis Muñoz-González, Emil C. Lupu
2018	J	`jnl`	Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Neural Networks. CoRR Kenneth T. Co, Luis Muñoz-González, Emil C. Lupu
2017	J	`jnl`	Don't fool Me!: Detection, Characterisation and Diagnosis of Spoofed and Masked Events in Wireless Sensor Networks. IEEE Trans. Dependable Secur. Comput. Vittorio P. Illiano, Luis Muñoz-González, Emil C. Lupu
2017	J	`jnl`	Efficient Attack Graph Analysis through Approximate Inference. ACM Trans. Priv. Secur. Luis Muñoz-González, Daniele Sgandurra, Andrea Paudice, Emil C. Lupu
2017	—	`conf`	Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization. AISec@CCS Luis Muñoz-González, Battista Biggio, Ambra Demontis, Andrea Paudice, Vasin Wongrassamee, Emil C. Lupu, Fabio Roli
2017	J	`jnl`	Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization. CoRR Luis Muñoz-González, Battista Biggio, Ambra Demontis, Andrea Paudice, Vasin Wongrassamee, Emil C. Lupu, Fabio Roli
2016	J	`jnl`	Automated Dynamic Analysis of Ransomware: Benefits, Limitations and use for Detection. CoRR Daniele Sgandurra, Luis Muñoz-González, Rabih Mohsen, Emil C. Lupu
2016	J	`jnl`	Efficient Attack Graph Analysis through Approximate Inference. CoRR Luis Muñoz-González, Daniele Sgandurra, Andrea Paudice, Emil C. Lupu
2015	J	`jnl`	Exact Inference Techniques for the Dynamic Analysis of Attack Graphs. CoRR Luis Muñoz-González, Daniele Sgandurra, Martín Barrère, Emil C. Lupu