Luis Muñoz-González

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Shadow-Catcher: Looking into Shadows to Detect Ghost Objects in Autonomous Vehicle 3D Sensing.

[BibT_eX]

[DOI]

Proceedings of the Computer Security - ESORICS 2021, 2021

2020

Robustness and Transferability of Universal Attacks on Compressed Models.

[BibT_eX]

[DOI]

CoRR, 2020

Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare.

[BibT_eX]

[DOI]

Matei Grama

Maria Musat

Jonathan Passerat-Palmbach

Daniel Rueckert

Amir Alansary

CoRR, 2020

GhostBuster: Looking Into Shadows to Detect Ghost Objects in Autonomous Vehicle 3D Sensing.

[BibT_eX]

[DOI]

CoRR, 2020

Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation.

[BibT_eX]

[DOI]

Javier Carnerero-Cano

Phillippa Spencer

CoRR, 2020

2019

Exact Inference Techniques for the Analysis of Bayesian Attack Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2019

Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training.

[BibT_eX]

[DOI]

CoRR, 2019

Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging.

[BibT_eX]

[DOI]

CoRR, 2019

Poisoning Attacks with Generative Adversarial Nets.

[BibT_eX]

[DOI]

Bjarne Pfitzner

Matteo Russo

Javier Carnerero-Cano

CoRR, 2019

Sensitivity of Deep Convolutional Networks to Gabor Noise.

[BibT_eX]

[DOI]

CoRR, 2019

Defending against poisoning attacks in online learning settings.

[BibT_eX]

[DOI]

Greg Collinge

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

Efficient Attack Countermeasure Selection Accounting for Recovery and Action Costs.

[BibT_eX]

[DOI]

Jukka Soikkeli

Emil Lupu

Proceedings of the 14th International Conference on Availability, Reliability and Security, 2019

2018

Determining Resilience Gains From Anomaly Detection for Event Integrity in Wireless Sensor Networks.

[BibT_eX]

[DOI]

ACM Trans. Sens. Networks, 2018

Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Mitigation of Adversarial Attacks through Embedded Feature Selection.

[BibT_eX]

[DOI]

Ziyi Bao

CoRR, 2018

Approaches to Enhancing Cyber Resilience: Report of the North Atlantic Treaty Organization (NATO) Workshop IST-153.

[BibT_eX]

[DOI]

CoRR, 2018

Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2018

Label Sanitization Against Label Flipping Poisoning Attacks.

[BibT_eX]

[DOI]

Andrea Paudice

Proceedings of the ECML PKDD 2018 Workshops, 2018

2017

Efficient Attack Graph Analysis through Approximate Inference.

[BibT_eX]

[DOI]

ACM Trans. Priv. Secur., 2017

Don't fool Me!: Detection, Characterisation and Diagnosis of Spoofed and Masked Events in Wireless Sensor Networks.

[BibT_eX]

[DOI]

Vittorio P. Illiano

IEEE Trans. Dependable Secur. Comput., 2017

Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, 2017

2016

Laplace Approximation for Divisive Gaussian Processes for Nonstationary Regression.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Automated Dynamic Analysis of Ransomware: Benefits, Limitations and use for Detection.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Exact Inference Techniques for the Dynamic Analysis of Attack Graphs.

[BibT_eX]

[DOI]

CoRR, 2015

2014

Divisive Gaussian Processes for Nonstationary Regression.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2014

Laplace approximation with Gaussian Processes for volatility forecasting.

[BibT_eX]

[DOI]

Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

2011

Heteroscedastic Gaussian process regression using expectation propagation.

[BibT_eX]

[DOI]