Shypd.aiThe largest open index of AI toolsDeep-pwning is an open-source framework for experimenting with machine learning models to evaluate their robustness against adversarial attacks. It provides a platform for security researchers to explore vulnerabilities in AI systems.
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Deep-pwning is a lightweight, open-source framework designed for experimenting with machine learning models to assess their resilience against motivated adversaries. Built on Tensorflow, it allows users to evaluate the robustness of AI systems, particularly deep neural networks, against adversarial attacks. The framework includes modules for model implementations, adversarial sample generation, and application configurations. It supports the creation of adversarial images for various classifiers, leveraging the phenomenon of 'transferability' in machine learning. Deep-pwning was released at DEF CON 24 and is intended for security researchers and penetration testers to understand and mitigate vulnerabilities in AI applications, especially in critical sectors like medical, transportation, and finance.
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