SOTAVerified

Reconstruction Attack

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–68 of 68 papers

TitleStatusHype
Bounding Training Data Reconstruction in DP-SGD—0
Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates—0
Cloud-based Federated Boosting for Mobile Crowdsensing—0
Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning—0
Data Reconstruction Attacks and Defenses: A Systematic Evaluation—0
Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models—0
Defending against Reconstruction Attack in Vertical Federated Learning—0
Differentially Private Instance Encoding against Privacy Attacks—0
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?—0
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
FIVA: Facial Image and Video Anonymization and Anonymization Defense—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
Input Reconstruction Attack against Vertical Federated Large Language Models—0
Is Diffusion Model Safe? Severe Data Leakage via Gradient-Guided Diffusion Model—0
LATTEO: A Framework to Support Learning Asynchronously Tempered with Trusted Execution and Obfuscation—0
Show:102550
← PrevPage 2 of 2Next →

No leaderboard results yet.