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Taller de Adversarial Machine Learning
adversarial-machine-learning adversarial-examples adversarial-attacks adversarial-robustness-toolbox poisoning-attacks evasion-attacks counterfit extraction-attacks inversion-attacks
This project focuses on the implementation of inverting I-JEAP, a new architecture designed to simulate human intelligence through self-supervised learning. Our goal is to invert the embeddings to demonstrate that such architectures can be vulnerable to inversion attacks
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