ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches

Documenti analoghi

• TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks
  di: Guesmi, Amira, et al.
  Pubblicazione: (2025)
• Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
  di: Chattopadhyay, Nandish, et al.
  Pubblicazione: (2024)
• PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices
  di: Chattopadhyay, Nandish, et al.
  Pubblicazione: (2026)
• Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs
  di: Guesmi, Amira, et al.
  Pubblicazione: (2025)
• Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks
  di: Guesmi, Amira, et al.
  Pubblicazione: (2024)