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...
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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...
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Techcode Pitch Won
The world’s leading trade show for industrial technology and AI: Hannover Messe, Germany. With 6,500 exhibitors and over 250,000 visitors, it’...
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Robustness Verificat...
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...
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Interview Adlershof-...
What is growth? The Adlershof Journal examined beliefs about growth and interviewed us about AI security and our personal growth story. After a conver...
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Website launched
After a year of hard and exciting work the time has come for a first small website! Today we launched the first version of the site and plan to fill i...
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Physical Adversarial...
One of the biggest obstacles to the confidence-inspiring use of deep neural networks in production (like, for instance, in autonomous vehicles) are ad...
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Adversarial Examples
Deep neural networks have given rise to great hopes and expectations for new applications in safety-critical areas such as automotive, healthcare or f...
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LIME for GDPR
As mentioned in our last post the GDPR is coming and companies have to get ready! There is a considerable number of people claiming that the GDPR coul...
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+49 (0)30 34065918Skype: neurocat GmbH