Unlearning increases privacy leakage for the retain set, and a new tri-class membership inference attack distinguishes forget, retain, and unseen data using pre- and post-unlearning model outputs.
Imagenet: A large-scale hierarchical image database,
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
DiffVC applies diffusion models for non-autoregressive video captioning, outperforming prior non-AR methods and matching AR ones in quality with faster speed on standard benchmarks.
CPNS regularization with dual counterfactual generators mitigates intra-task and inter-task spurious correlations in class-incremental learning feature expansion.
citing papers explorer
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Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set
Unlearning increases privacy leakage for the retain set, and a new tri-class membership inference attack distinguishes forget, retain, and unseen data using pre- and post-unlearning model outputs.
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DiffVC: A Non-autoregressive Framework Based on Diffusion Model for Video Captioning
DiffVC applies diffusion models for non-autoregressive video captioning, outperforming prior non-AR methods and matching AR ones in quality with faster speed on standard benchmarks.
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Causally Sufficient and Necessary Feature Expansion for Class-Incremental Learning
CPNS regularization with dual counterfactual generators mitigates intra-task and inter-task spurious correlations in class-incremental learning feature expansion.