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Inference Attack

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Showing 201–225 of 283 papers

TitleStatusHype
Bounding Information Leakage in Machine Learning—0
Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning—0
Similarity-based Label Inference Attack against Training and Inference of Split Learning—0
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems—0
Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks—0
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature—0
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks—0
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models—0
Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges—0
Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning—0
Defending Model Inversion and Membership Inference Attacks via Prediction Purification—0
De-identification is not always enough—0
DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics—0
Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation—0
Differentially Private Data Generative Models—0
Differentially Private k-Means Clustering with Guaranteed Convergence—0
Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks—0
Disparate Privacy Vulnerability: Targeted Attribute Inference Attacks and Defenses—0
Do Backdoors Assist Membership Inference Attacks?—0
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?—0
DP-GPL: Differentially Private Graph Prompt Learning—0
Eavesdrop the Composition Proportion of Training Labels in Federated Learning—0
EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression—0
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning—0
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability—0
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