Automatic transformation search against deep leakage from gradients
Collaborative learning has gained great popularity due to its benefit of data privacy protection: participants can jointly train a Deep Learning model without sharing their training sets. However, recent works discovered that an adversary can fully recover the sensitive training samples from the sha...
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Main Authors: | , , , , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/172192 |
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Institution: | Nanyang Technological University |
Language: | English |
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