Nabid Hasan Omi
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2026
Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures
This paper proposes a modified SISA framework to achieve efficient class-level unlearning in CNNs, allowing the removal of specific data influence without full model retraining.
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