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PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation

AAAI 2023 · Federated learning and privacy › Privacy attacks and secure learning · approach: Encryption-based private learning · 25 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use PPGenCDR instead of PriCDRPPCDR · Douban book → musicHR@5: .3074 -> .3701Helped
Use PPGenCDR instead of PriCDRPPCDR · Amazon music → bookHR@5: .5605 -> .6012Helped
Use PPGenCDR instead of PriCDRPPCDR · Douban movie → bookHR@5: .3577 -> .4238Helped
Use PPGenCDR instead of PriCDRPPCDR · Amazon movie → bookHR@5: .5862 -> .6253Helped
Use PPGenCDR instead of PriCDRPPCDR · Douban movie → musicHR@5: .3346 -> .3782Helped
Use PPGenCDR instead of PriCDRPPCDR · Amazon movie → musicHR@5: .6015 -> .6379Helped
Add GAN stabilizer (ablation)PPGenCDR · Douban book → musicHR@5: .2944 -> .3701Helped
Add GAN stabilizer (ablation)PPGenCDR · Amazon music → bookHR@5: .5701 -> .6012Helped
Add GAN stabilizer (ablation)PPGenCDR · Douban movie → bookHR@5: .3647 -> .4238Helped
Add robustness conductor (ablation)PPGenCDR · Amazon movie → bookHR@5: .3614 -> .6253Helped
Add robustness conductor (ablation)PPGenCDR · Douban movie → musicHR@5: .2739 -> .3782Helped
Apply RDP selectively to the discriminator gradients rather than the whole model (ablation)PPGenCDR · Amazon movie sourceHR: .1098 -> .0945Hurt

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