Author

Francesco Leofante

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#artificial intelligence Preprint Sep 2026

eval-unlearn: Benchmarking unlearning in Text-to-Image Diffusion Models

Eval-unlearn is an open-source Python library providing a unified, reproducible benchmarking framework for concept unlearning in T2I Diffusion models, integrating twelve published unlearning techniques spanning fine-tuning, closed-form model editing, and inference-time intervention.

Mansi, Nikhil Raghavan, Zi-Xia Huang et al. · 0 citations

#machine learning Preprint Sep 2026

Certifying Concept Unlearning in Text-to-Image Diffusion Models

This work introduces a novel certification framework for T2I concept unlearning that provides high-confidence guarantees with bounded error on residual concept leakage and establishes certification as a necessary complement for reliable auditing of concept unlearning in T2I diffusion models.

Mansi, Luca Marzari, Francesco Leofante · 0 citations