BadGraph poisons training data with textual triggers to implant backdoors in latent diffusion models for text-guided graph generation, achieving 50% attack success rate at under 10% poisoning and over 80% at 24% poisoning with negligible clean performance loss.
3m-diffusion: Latent multi-modal diffusion for language-guided molecular structure generation,
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BadGraph: A Backdoor Attack Against Latent Diffusion Model for Text-Guided Graph Generation
BadGraph poisons training data with textual triggers to implant backdoors in latent diffusion models for text-guided graph generation, achieving 50% attack success rate at under 10% poisoning and over 80% at 24% poisoning with negligible clean performance loss.