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Shristi Das Biswas

2 accepted papers

2025

CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models

NeurIPS 2025spotlight

As Text-to-Image models continue to evolve, so does the risk of generating unsafe, copyrighted, or privacy-violating content. Existing safety interventions - ranging from training data curation and model fine-tuning to inference-time filtering and guidance - often suffer from incomplete concept remo…

Cited by 0SourceScholar
2025

PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery

AAAI 2025technical

Recent advancements in language-guided diffusion models for image editing are often bottle-necked by cumbersome prompt engineering to precisely articulate desired changes. An intuitive alternative calls on guidance from in-the-wild image exemplars to help users bring their imagined edits to life. Co…