Neurocat has been accepted into the NVIDIA AI Inception program! Being recognized by one of the giants in AI space showcases the potential of our soft...
Read more
Robustness Verification: Seminar Presentation at HU Berlin
- Research
- November 15, 2018
Two of our cats are soon going to give a talk about the current status of duality-based adversarial robustness verification. The content will strongly rely on the recent publication ”Training Verified Learners with Learned Verifiers” by K. Dvijotham et al. (DeepMind). If you are as excited about this topic as we are – take a look at the attached presentation draft!
This could also be interesting for you
Papercat Thursday 12...
Proud to present the research paper contributed by colleagues at neurocat GmbH & Volkswagen AG. Risk Assessment for ML models is of paramount impo...
Read more
1E9 Interview Tarek ...
Making AI models robust against adversarial attacks, unboxing the black-box models to make their decision-making process more explainable, and also wo...
Read more
Most Promising Germa...
Neurocat was voted one of the 247 most promising German AI startups by the initiative for applied artificial intelligence. We are pleased to be part o...
Read more
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 inp...
Read more
Times of Growth
Since the beginning of 2019, neurocat’s manpower has more than doubled. With all teams growing fast, we significantly expanded our office space. Luc...
Read more
Phone
+49 (0) 30 340 65 918Skype: neurocat GmbH