Proud to present the research paper contributed by colleagues at neurocat GmbH & Volkswagen AG. Risk Assessment for ML models is of paramount impo...
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Proud to present the research paper contributed by colleagues at neurocat GmbH & Volkswagen AG. Risk Assessment for ML models is of paramount impo...
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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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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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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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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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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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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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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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