Backdoor Attacks against Learning-Based Algorithms

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This book introduces a new type of data poisoning attack, dubbed, backdoor attack. In backdoor attacks, an attacker can train the model with poisoned data to obtain a model that performs well on a normal input but behaves wrongly with crafted triggers. Backdoor attacks can occur in many scenarios where the training process is not entirely controlled, such as using third-party datasets, third-party...
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This book introduces a new type of data poisoning attack, dubbed, backdoor attack. In backdoor attacks, an attacker can train the model with poisoned data to obtain a model that performs well on a normal input but behaves wrongly with crafted triggers. Backdoor attacks can occur in many scenarios where the training process is not entirely controlled, such as using third-party datasets, third-party...
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  • Formats: pdf
  • ISBN: 9783031573897
  • Publication Date: 29 May 2024
  • Publisher: Springer Nature Switzerland
  • Product language: English
  • Drm Setting: DRM