[NeurIPS D&B '25] The one-stop repository for LLM unlearning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
Testing membership inference attacks on Deep learning models (LSTM, CNN);
Loss and Likelihood Based Membership Inference of Diffusion Models
A unified evaluation suite for membership inference and machine text detection.
Critical evaluation of CTGAN for tabular data synthesis on UCI Adult Census, with rigorous metrics (Wasserstein, JSD, Frobenius, TSTR) and analysis of structural limitations on zero-inflated variables.
Revisiting the LiRA Membership Inference Attack Under Realistic Assumptions
Privacy-First Recommendation System
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