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A Generative Adversarial Approach to Adversarial Attacks Guided by Contrastive Language-Image Pre-trained Model

arXiv — cs.CV•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence

A Generative Adversarial Approach to Adversarial Attacks Guided by Contrastive Language-Image Pre-trained Model

A new study introduces a generative adversarial attack method that leverages the CLIP model to create subtle yet effective adversarial perturbations. This advancement is significant as it addresses the vulnerabilities in deep learning models, which can be easily misled by minor alterations in input data. By enhancing the robustness of these models against such attacks, this research contributes to the ongoing efforts to improve the reliability of AI systems in real-world applications.
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