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Found 4 papers, 2 papers with code
RealEra: Semantic-level Concept Erasure via Neighbor-Concept Mining
The remarkable development of text-to-image generation models has raised notable security concerns, such as the infringement of portrait rights and the generation of inappropriate content.
Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment
Model inversion (MI) attack reconstructs the private training data of a target model given its output, posing a significant threat to deep learning models and data privacy.
Disrupting Diffusion: Token-Level Attention Erasure Attack against Diffusion-based Customization
In this paper, we propose DisDiff (Disrupting Diffusion), a novel adversarial attack method to disrupt the diffusion model outputs.
A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re-Identification
Whiteness the impressive capabilities in multimodal understanding of Vision Language Foundation Model CLIP a recent two-stage CLIP-based method employs automated prompt engineering to obtain specific textual labels for classifying pedestrians.
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