Publications by authors named "Angelo Sotgiu"

Article Synopsis
  • The paper examines adversarial attacks and defenses in multi-label classification, highlighting how domain knowledge can help identify incoherent predictions caused by these attacks.
  • By integrating first-order logic constraints into a semi-supervised learning framework, the authors demonstrate that classifiers can reject samples that don't align with the established domain knowledge.
  • Their findings reveal that even without prior knowledge of specific attacks, domain constraints can effectively detect adversarial examples, suggesting a path toward more resilient multi-label classifiers.
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