Seeing Isn't Believing: Context-Aware Adversarial Patch Synthesis via Conditional GAN

Documenti analoghi

• Enhancing Object Detection Robustness: Detecting and Restoring Confidence in the Presence of Adversarial Patch Attacks
  di: Kazoom, Roie, et al.
  Pubblicazione: (2024)
• VAULT: Vigilant Adversarial Updates via LLM-Driven Retrieval-Augmented Generation for NLI
  di: Kazoom, Roie, et al.
  Pubblicazione: (2025)
• Don't Lag, RAG: Training-Free Adversarial Detection Using RAG
  di: Kazoom, Roie, et al.
  Pubblicazione: (2025)
• RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-N Ranking
  di: Kazoom, Roie, et al.
  Pubblicazione: (2026)
• Seeing Isn't Knowing: Do VLMs Know When Not to Answer Spatial Questions (and Why)?
  di: Zhang, Yue, et al.
  Pubblicazione: (2026)