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Membership Inference Attack

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Showing 151–186 of 186 papers

TitleStatusHype
Inference Attacks Against Face Recognition Model without Classification Layers—0
Interaction-level Membership Inference Attack Against Federated Recommender Systems—0
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation—0
Knowledge Cross-Distillation for Membership Privacy—0
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks—0
Low-Cost High-Power Membership Inference Attacks—0
Low-Cost Privacy-Preserving Decentralized Learning—0
Machine Unlearning for Uplink Interference Cancellation—0
Machine unlearning via GAN—0
Many-Shot Regurgitation (MSR) Prompting—0
Against Membership Inference Attack: Pruning is All You Need—0
Membership Inference Attack against Long-Context Large Language Models—0
Membership Inference Attack Against Masked Image Modeling—0
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning—0
Membership Inference Attack for Beluga Whales Discrimination—0
Membership Inference Attack in Face of Data Transformations—0
Membership Inference Attacks Against In-Context Learning—0
Membership Inference Attacks for Face Images Against Fine-Tuned Latent Diffusion Models—0
Membership Inference Attacks on Knowledge Graphs—0
Membership Inference Attacks on Sequence Models—0
Membership Inference Attack Susceptibility of Clinical Language Models—0
Membership inference attack with relative decision boundary distance—0
Membership Inference on Word Embedding and Beyond—0
Membership Privacy Evaluation in Deep Spiking Neural Networks—0
Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation—0
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning—0
τ: Gradient-based and Task-Agnostic machine Unlearning—0
On the Effectiveness of Regularization Against Membership Inference Attacks—0
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel—0
On the Privacy Risk of In-context Learning—0
Orthogonal Soft Pruning for Efficient Class Unlearning—0
Over-the-Air Membership Inference Attacks as Privacy Threats for Deep Learning-based Wireless Signal Classifiers—0
Preserving Privacy in GANs Against Membership Inference Attack—0
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models—0
Privacy-Preserving Collaborative Learning through Feature Extraction—0
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes—0
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