We present a comprehensive benchmark for evaluating machine unlearning under large-scale, realistic scenarios.
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Updated
Apr 1, 2026 - Python
We present a comprehensive benchmark for evaluating machine unlearning under large-scale, realistic scenarios.
Certified Unlearning for Federated Recommendation using MovieLens-1M, Neural Collaborative Filtering, and privacy evaluation with Membership Inference Attack.
Machine Unlearning Fails to Remove Data Poisoning Attacks.
A Machine UnLearning pipeline for Detectron2 (RetinaNet), designed to surgically remove neural backdoors from space debris streak detectors without degrading legitimate detection. Built for the ESA 'Secure Your AI' Kaggle Competition.
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