Author

Georgina Cosma

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#artificial intelligence May 2026

SUPREME: A Multi-GPU Framework for Reproducible Image Unlearning Method Evaluation

This work introduces SUPREME, an open-source framework that distributes these stages across multiple GPUs and makes three contributions: a registry-based design for adding new methods, metrics, models, and scenarios; a multi-GPU architecture supporting multiple accelerators and precision modes.

P. Andreou, J. Lanyon, Axel Finke et al. · arXiv.org · 0 citations

#artificial intelligence May 2026

RULER: Representation-Level Verification of Machine Unlearning

RULER, a set of representation-level verification metrics, is introduced that acts as a pre-unlearning diagnostic across tabular, image, clinical text, and face-identity settings: it detects identity-level memorisation in face recognition models where no tested method fully erases the signal.

Georgina Cosma, Axel Finke · arXiv.org · 0 citations