MAGIC: Mastering Physical Adversarial Generation in Context through Collaborative LLM Agents

Documenti analoghi

• DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches
  di: Xing, Yun, et al.
  Pubblicazione: (2025)
• SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments
  di: Cao, Yue, et al.
  Pubblicazione: (2024)
• IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
  di: Cao, Yue, et al.
  Pubblicazione: (2023)
• FOCUS: Frequency-Optimized Conditioning of DiffUSion Models for mitigating catastrophic forgetting during Test-Time Adaptation
  di: Tjio, Gabriel, et al.
  Pubblicazione: (2025)
• Time-variant Image Inpainting via Interactive Distribution Transition Estimation
  di: Xing, Yun, et al.
  Pubblicazione: (2025)