Behavior-Aware and Generalizable Defense Against Black-Box Adversarial Attacks for ML-Based IDS

Documenti analoghi

• Vulnerability Disclosure through Adaptive Black-Box Adversarial Attacks on NIDS
  di: Ennaji, Sabrine, et al.
  Pubblicazione: (2025)
• Toward Realistic Adversarial Attacks in IDS: A Novel Feasibility Metric for Transferability
  di: Ennaji, Sabrine, et al.
  Pubblicazione: (2025)
• Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning
  di: Domico, Kyle, et al.
  Pubblicazione: (2025)
• How stealthy is stealthy? Studying the Efficacy of Black-Box Adversarial Attacks in the Real World
  di: Panebianco, Francesco, et al.
  Pubblicazione: (2025)
• AttackPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents
  di: Wu, Yixin, et al.
  Pubblicazione: (2025)