Adversarial AI Toolbox

Todays  Cognitive Systems Institute Talk:

IBM: Research Scientist: Irina-Maria Nicolae  on “Adversarial AI & Adversarial AI Toolbox IBM

Talk Description: Following the recent adoption of deep neural networks (DNN) in a wide range of application fields, adversarial attacks against these models have proven to be an indisputable threat. Adversarial samples are crafted with a deliberate intention of producing a specific response from the system. Multiple attacks and defenses have been proposed in the literature, but the lack of better understanding of sensitivity of DNNs justifies adversarial samples still being an open question. In this talk, we will introduce the Adversarial Robustness Toolbox (ART), a newly open-sourced IBM Research library against adversarial attacks for machine learning models https://github.com/IBM/adversarial-robustness-toolbox

Bio: Irina Nicolae, PhD, is currently a research scientist in the AI & Machine Learning team of IBM Research Ireland. Her main interests include learning representations for complex data and security for deployed models. She has received her PhD from University of Saint-Etienne, France, for a research project on similarity learning with theoretical guarantees for numerical and temporal data. Previously, she has graduated from Politehnica University of Bucharest in Computer Science in 2011, and from ENSIMAG in Information Systems in 2013 .... "

Slides and Talk recording.