Query Provenance Analysis for Robust and Efficient Query-based Black-box
Attack Defense
Query Provenance Analysis for Robust and Efficient Query-based Black-box
Attack Defense
Query-based black-box attacks have emerged as a significant threat to machine learning systems, where adversaries can manipulate the input queries to generate adversarial examples that can cause misclassification of the model. To counter these attacks, researchers have proposed Stateful Defense Models (SDMs) for detecting adversarial query sequences and rejecting queries …