Master's Thesis: Attacking Current Backdoor Detection Methods

Kurzbeschreibung

Background/Motivation: Backdoor attacks are attacks on neural networks where a so-called trigger alters the decision-making behaviour of the networks, thereby creating vulnerabilities. These triggers can be injected into the training dataset or directly into the model weights. These are then called …

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