Guillaume Sicard

DeepOrigin: End-To-End Deep Learning For Detection Of New Malware Families

Ishai Rosenberg, Eli David, Ilay Cordonsky, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks

Ishai Rosenberg, Eli David, Guillaume Sicard, 2017, ICANN.

Abstract 6244: Turning poorly vascularized tumors into highly vascularized tumors with nanoparticles: Proof of concept and pharmacometric analysis

Cristina Vaghi, Anne Rodallec, Joseph Ciccolini, 2020 .

Learning the velocity kinematics of ICUB for model-based control: XCSF versus LWPR

Olivier Sigaud, Camille Salaün, Vincent Padois, 2011, 2011 11th IEEE-RAS International Conference on Humanoid Robots.

Deep Learners Benefit More from Out-of-Distribution Examples

Razvan Pascanu, Yoshua Bengio, Dumitru Erhan, 2011, AISTATS.

Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability

Ishai Rosenberg, Guillaume Sicard, Jonathan Berrebi, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Deep Self-Taught Learning for Handwritten Character Recognition pdf

Razvan Pascanu, Yoshua Bengio, Dumitru Erhan, 2010, ArXiv.

End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware

Ishai Rosenberg, Eli David, Guillaume Sicard, 2018, Entropy.