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Table 3 Defense methods against privacy inference attacks in the training phase

From: Threats, attacks and defenses to federated learning: issues, taxonomy and perspectives

 

Actor

Guarantee

Weakness

Model

Aggregated value

Local releasedvalue

Compression gradients

     

 Pruning

Worker

Y

N

Y

Failintext inferringtask

 Dropout

Worker

Y

N

Y

Slightlydecrease modelaccuracy

Cryptology gradients

     

 SMC

Worker

N

Y

Y

Computationand communicationconsuming

 HE

Worker

N

Y

Y

Perturbation gradients

     

 CDP

Server

N

Y

N

Requirea trustaggregator

 LDP

Worker

N

N

Y

Needenough calibrationnoise

 DDP

Worker

N

N

Y

Computation consuming