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.
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.
Certified Unlearning for Federated Recommendation using MovieLens-1M, Neural Collaborative Filtering, and privacy evaluation with Membership Inference Attack.
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