✨Multi-Faceted Attack: Exposing Cross-Model Vulnerabilities in Defense-Equipped Vision-Language Models
📝 Summary:
Multi-Faceted Attack MFA reveals cross-model safety vulnerabilities in defense-equipped Vision-Language Models. It uses Attention-Transfer Attack to hide harmful instructions and bypass filters, exploiting shared visual representations for high success rates. MFA challenges the robustness of curr...
🔹 Publication Date: Published on Nov 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.16110
• PDF: https://arxiv.org/pdf/2511.16110
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✓ https://t.iss.one/DataScienceT
#VisionLanguageModels #AISecurity #AdversarialAttacks #AIvulnerabilities #MachineLearning
📝 Summary:
Multi-Faceted Attack MFA reveals cross-model safety vulnerabilities in defense-equipped Vision-Language Models. It uses Attention-Transfer Attack to hide harmful instructions and bypass filters, exploiting shared visual representations for high success rates. MFA challenges the robustness of curr...
🔹 Publication Date: Published on Nov 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.16110
• PDF: https://arxiv.org/pdf/2511.16110
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#VisionLanguageModels #AISecurity #AdversarialAttacks #AIvulnerabilities #MachineLearning