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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 1–50 of 68 papers

TitleStatusHype
Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and ReconstructionCode2
Confidence-Ranked Reconstruction of Census Microdata from Published StatisticsCode1
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain ApproximationCode1
Reconstructing Training Data with Informed AdversariesCode1
Inference Attacks Against Graph Neural NetworksCode1
Trained Random Forests Completely Reveal your DatasetCode1
TabLeak: Tabular Data Leakage in Federated LearningCode1
Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT ModelsCode1
Investigating Privacy Leakage in Dimensionality Reduction Methods via Reconstruction AttackCode0
Towards General Deep Leakage in Federated LearningCode0
Training Set Reconstruction from Differentially Private Forests: How Effective is DP?Code0
Vicious Classifiers: Assessing Inference-time Data Reconstruction Risk in Edge ComputingCode0
How Private Is Your RL Policy? An Inverse RL Based Analysis FrameworkCode0
Privacy Attacks in Decentralized LearningCode0
TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based SystemsCode0
Face Reconstruction Transfer Attack as Out-of-Distribution GeneralizationCode0
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data ManipulationCode0
Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated LearningCode0
URVFL: Undetectable Data Reconstruction Attack on Vertical Federated LearningCode0
A Review of Anonymization for Healthcare DataCode0
LOKI: Large-scale Data Reconstruction Attack against Federated Learning through Model ManipulationCode0
An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census MicrodataCode0
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
MIP: CLIP-based Image Reconstruction from PEFT Gradients—0
The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against "Truly Anonymous" Synthetic Datasets—0
On the Reconstruction of Face Images from Deep Face Templates—0
Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition—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
When the Curious Abandon Honesty: Federated Learning Is Not Private—0
A Multiparty Homomorphic Encryption Approach to Confidential Federated Kaplan Meier Survival Analysis—0
A Novel Attribute Reconstruction Attack in Federated Learning—0
Approximate and Weighted Data Reconstruction Attack in Federated Learning—0
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