SOTAVerified

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
Approximate and Weighted Data Reconstruction Attack in Federated Learning—0
Bayes' capacity as a measure for reconstruction attacks in federated learning—0
Bounding Reconstruction Attack Success of Adversaries Without Data Priors—0
Bounding Training Data Reconstruction in DP-SGD—0
Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates—0
Privacy Safe Representation Learning via Frequency Filtering Encoder—0
PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems—0
Reconstruction Attack on Instance Encoding for Language Understanding—0
ReconXF: Graph Reconstruction Attack via Public Feature Explanations on Privatized Node Features and Labels—0
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense—0
SAPAG: A Self-Adaptive Privacy Attack From Gradients—0
Supervised and Unsupervised Alignments for Spoofing Behavioral Biometrics—0
Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity Analysis—0
UIFV: Data Reconstruction Attack in Vertical Federated Learning—0
Unveiling Hidden Visual Information: A Reconstruction Attack Against Adversarial Visual Information Hiding—0
Visual Privacy Auditing with Diffusion Models—0
Vulnerability of Face Recognition Systems Against Composite Face Reconstruction Attack—0
VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution—0
HashVFL: Defending Against Data Reconstruction Attacks in Vertical 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
Local Differential Privacy is Not Enough: A Sample Reconstruction Attack against Federated Learning with Local Differential Privacy—0
Local Model Reconstruction Attacks in Federated Learning and their Uses—0
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract)—0
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