neurocat to Participate in “News-Polygraph” Research Consortium to Counter Disinformation
We recently announced on social media that neurocat will participate as a member of the research consortium “News-Polygraph” to counter disinformation. News-Polygraph is funded by the German Federal Ministry of Education and Research as part of its...
Wasserstein Verification Paper Published
We are proud to present our joint work with the University of Göttingen. Formal verification of neural networks is a challenging topic! In the past, verification methods were mainly focused on Lp-norms for measuring imperceptibility. Using Lp-norms for measuring the...
Papercat Thursday 12/11/2020
Proud to present the research paper contributed by colleagues at neurocat GmbH & Volkswagen AG. Risk Assessment for ML models is of paramount importance to understand the failure modes and improve the models before deployment. Our paper defines the standardized...
Decision Boundary
State-of-the-art neural networks are vulnerable to adversarial examples. This major problem for the safe deployment of ML models arises when minor input modifications push a data point across the decision boundary of the model. The existence of adversarial examples is...
