Adversarial Learning

Establishing guarantees for crafting and defending against adversarial attacks.

(Coming soon… )

Related Publications

1. J. Patracone, P. Viallard, E. Morvant, G. Gasso, A. Habrard and S. Canu,

   A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint,

   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2024.
   Article Page   PDF   BibTeX  
2. J. Patracone, L. Anquetil, Y. Liu, G. Gasso and S. Canu,

   Linear Modeling of the Adversarial Noise Space,

   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2024.
   Article Page   PDF   BibTeX  
3. J. Frecon, L. Anquetil, G. Gasso and S. Canu,

   Adversarial Dictionary Learning,

   Conférence sur l'Apprentissage Automatique (CAp), 2021.
   Article Page   PDF   BibTeX  

Back