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pipeline_tag: text-to-image
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# Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation

This repository contains the code and model weights from the work presented in the paper [Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation](https://huggingface.co/papers/2508.18235).

The paper addresses the vulnerability of text-to-image diffusion models to backdoor attacks, where imperceptible textual triggers can cause manipulated outputs. The proposed approach, Self-Knowledge Distillation with Cross-Attention Guidance (SKD-CAG), selectively erases the model's learned associations between adversarial text triggers and poisoned outputs while preserving overall generation quality. SKD-CAG neutralizes backdoor influences at the attention level using knowledge distillation.

For more details and the implementation, please refer to the [GitHub repository](https://github.com/Mystic-Slice/Sealing-The-Backdoor).