SOTAVerified

Reconstruction Attack

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

Papers

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Showing 21–30 of 68 papers

TitleStatusHype
DRAGD: A Federated Unlearning Data Reconstruction Attack Based on Gradient Differences—0
Face Reconstruction from Face Embeddings using Adapter to a Face Foundation Model—0
Defending against Reconstruction Attack in Vertical Federated Learning—0
HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning—0
Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models—0
Fuzzy Commitments Offer Insufficient Protection to Biometric Templates Produced by Deep Learning—0
Gradient Obfuscation Gives a False Sense of Security in Federated Learning—0
Hidden Data Privacy Breaches in Federated Learning—0
Bounding Training Data Reconstruction in DP-SGD—0
Bounding Reconstruction Attack Success of Adversaries Without Data Priors—0
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