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cs.LG2026
DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning
Abdullah Ahmad Khan, Ferdous Sohel
Machine unlearning aims to remove specified training data to satisfy privacy regulations such as GDPR. However, existing evaluations assume identical precision at unlearning and de…
cs.LG2020
Imputation of Missing Data with Class Imbalance using Conditional Generative Adversarial Networks
Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel +2
Missing data is a common problem faced with real-world datasets. Imputation is a widely used technique to estimate the missing data. State-of-the-art imputation approaches, such as…