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Papers
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
ICML 2023
Data Minimization at Inference Time
NIPS 2023
Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation
WACV 2023
Gold Doesn’t Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information
EACL 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
ICML 2023
SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization
CVPR 2023