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Reconstruction Attack

Facial reconstruction attack of facial manipulation models such as: Face swapping models, anonymization models, etc.

Papers

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Showing 41–50 of 68 papers

TitleStatusHype
Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models—0
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?—0
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense—0
LOKI: Large-scale Data Reconstruction Attack against Federated Learning through Model ManipulationCode0
Bounding Training Data Reconstruction in DP-SGD—0
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract)—0
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation—0
Vicious Classifiers: Assessing Inference-time Data Reconstruction Risk in Edge ComputingCode0
HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning—0
Local Model Reconstruction Attacks in Federated Learning and their Uses—0
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