When AI Can Be Fooled – Robust Models as the Goal of Modern AI Projects
By Marvin Vogt, Fraunhofer FOKUS Whether it’s self-driving cars, malware detection, or text generation: neural networks have long since established themselves as a key technology for many innovative applications. However, it has become apparent that such machine learning systems are vulnerable to malicious actors. This article is intended to provide a…
Anna Marton, Safepay SystemsJuly 24, 2026












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