Reconstruction Attack
13 papers with code • 0 benchmarks • 0 datasets
Facial reconstruction attack of facial manipulation models such as: Face swapping models, anonymization models, etc.
Benchmarks
These leaderboards are used to track progress in Reconstruction Attack
Most implemented papers
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
Although powerful graph neural networks (GNNs) have boosted numerous real-world applications, the potential privacy risk is still underexplored.
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Active Data Manipulation
Federated learning (FL) has recently emerged as a privacy-preserving approach for machine learning in domains that rely on user interactions, particularly recommender systems (RS) and online learning to rank (OLTR).
Trained Random Forests Completely Reveal your Dataset
Even with bootstrap aggregation, the majority of the data can also be reconstructed.
