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01/18/2023
Label Inference Attack against Split Learning under Regression Setting
As a crucial building block in vertical Federated Learning (vFL), Split ...
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08/25/2022
DPAUC: Differentially Private AUC Computation in Federated Learning
Federated learning (FL) has gained significant attention recently as a p...
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06/16/2022
Differentially Private Multi-Party Data Release for Linear Regression
Differentially Private (DP) data release is a promising technique to dis...
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05/24/2022
Differentially Private AUC Computation in Vertical Federated Learning
Federated learning has gained great attention recently as a privacy-enha...
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03/04/2022
Differentially Private Label Protection in Split Learning
Split learning is a distributed training framework that allows multiple ...
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03/02/2022
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning
Vertical federated learning (vFL) has gained much attention and been dep...
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03/02/2022
Counterfactually Evaluating Explanations in Recommender Systems
Modern recommender systems face an increasing need to explain their reco...
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07/21/2021
Defending against Reconstruction Attack in Vertical Federated Learning
Recently researchers have studied input leakage problems in Federated Le...
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06/10/2021
Vertical Federated Learning without Revealing Intersection Membership
Vertical Federated Learning (vFL) allows multiple parties that own diffe...
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06/25/2020
Backdoor Attacks on Facial Recognition in the Physical World
Backdoor attacks embed hidden malicious behaviors inside deep neural net...
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05/24/2019