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Membership Inference Attack

Papers

Showing 151–186 of 186 papers

TitleStatusHype
Membership Inference Attacks on Knowledge Graphs—0
Membership Inference Attacks on Machine Learning: A SurveyCode1
On the privacy-utility trade-off in differentially private hierarchical text classificationCode0
PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party SettingCode0
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning ModelsCode1
An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms—0
Membership Inference Attack on Graph Neural NetworksCode1
Practical Blind Membership Inference Attack via Differential ComparisonsCode1
Investigating Membership Inference Attacks under Data DependenciesCode0
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks—0
Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics—0
Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries—0
Against Membership Inference Attack: Pruning is All You Need—0
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning—0
Sharing Models or Coresets: A Study based on Membership Inference Attack—0
Over-the-Air Membership Inference Attacks as Privacy Threats for Deep Learning-based Wireless Signal Classifiers—0
On the Effectiveness of Regularization Against Membership Inference Attacks—0
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks—0
Defending Model Inversion and Membership Inference Attacks via Prediction Purification—0
When Machine Unlearning Jeopardizes PrivacyCode1
Data and Model Dependencies of Membership Inference AttackCode0
Membership Inference Attacks Against Object Detection ModelsCode0
Assessing differentially private deep learning with Membership InferenceCode0
An Empirical Study on the Intrinsic Privacy of SGDCode0
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability—0
Reducing audio membership inference attack accuracy to chance: 4 defenses—0
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial ExamplesCode1
Synthesis of Realistic ECG using Generative Adversarial NetworksCode1
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative ModelsCode0
Reconstruction and Membership Inference Attacks against Generative ModelsCode0
Disparate Vulnerability to Membership Inference AttacksCode0
Differentially Private Data Generative Models—0
Machine Learning with Membership Privacy using Adversarial RegularizationCode1
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning ModelsCode1
Understanding Membership Inferences on Well-Generalized Learning ModelsCode0
Membership Inference Attacks against Machine Learning ModelsCode0
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