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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 26–50 of 68 papers

TitleStatusHype
UIFV: Data Reconstruction Attack in Vertical Federated Learning—0
Is Diffusion Model Safe? Severe Data Leakage via Gradient-Guided Diffusion Model—0
URVFL: Undetectable Data Reconstruction Attack on Vertical Federated LearningCode0
Visual Privacy Auditing with Diffusion Models—0
MIP: CLIP-based Image Reconstruction from PEFT Gradients—0
Bounding Reconstruction Attack Success of Adversaries Without Data Priors—0
Privacy Attacks in Decentralized LearningCode0
Data Reconstruction Attacks and Defenses: A Systematic Evaluation—0
The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against "Truly Anonymous" Synthetic Datasets—0
Input Reconstruction Attack against Vertical Federated Large Language Models—0
An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census MicrodataCode0
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data ManipulationCode0
FIVA: Facial Image and Video Anonymization and Anonymization Defense—0
Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition—0
Approximate and Weighted Data Reconstruction Attack in Federated Learning—0
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 DistillationCode0
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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