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Idiap Research Institute’s Biometrics Security and Privacy Group research show the potential vulnerability of biometric templates to 3D reconstruction attacks.
NPR reported in August that a Cleveland State University student won a lawsuit after suing his college for asking him to take a video of his surroundings before an online
Informationweek Commentary How To Ensure Your Machine Learning Models Arent Fooled Machine learning models are not infallible. In order to prevent attackers from exploiting a model, researchers have designed various techniques to make machine learning models more robust. Any system that uses a neural network can be exploited. Luckily, there are known techniques that can mitigate or even prevent adversarial attacks completely. The field of adversarial machine learning is growing rapidly as companies realize the dangers of adversarial attacks. We will look at a brief case study of face recogn...