Machine learning algorithms are vulnerable to poisoning attacks: An adve...
Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation
Machine Learning (ML) algorithms are vulnerable to poisoning attacks, wh...
Javier Carnerero-Canoverfied profile
Javier Carnerero-Cano is a PhD Candidate in the Department of Computing at Imperial College London. His current interests include (not limited to) adversarial machine learning, aiming to investigate the security of machine learning algorithms (with special focus on data poisoning attacks); applications of machine learning in cyber security; bilevel optimisation problems; and Generative Adversarial Networks (GANs). Javier is part of the Resilient Information Systems Security (RISS) Group led by Prof Emil C. Lupu.
Javier received his MEng in Telecommunications Engineering and his MRes in Multimedia and Communications from University Carlos III of Madrid (Spain).