Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-Language Models

Ähnliche Einträge

• Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks
  von: Hossain, Md Zarif, et al.
  Veröffentlicht: (2024)
• Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
  von: Schlarmann, Christian, et al.
  Veröffentlicht: (2024)
• LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts
  von: Cao, Anh-Quan, et al.
  Veröffentlicht: (2024)
• Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models
  von: Zhu, Wenhui, et al.
  Veröffentlicht: (2025)
• A Hybrid Defense Strategy for Boosting Adversarial Robustness in Vision-Language Models
  von: Liang, Yuhan, et al.
  Veröffentlicht: (2024)