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pro vyhledávání: '"Noorbakhsh, Sayedeh Leila"'
Machine learning (ML) is vulnerable to inference (e.g., membership inference, property inference, and data reconstruction) attacks that aim to infer the private information of training data or dataset. Existing defenses are only designed for one spec
Externí odkaz:
http://arxiv.org/abs/2403.02116
Federated learning (FL) has been widely studied recently due to its property to collaboratively train data from different devices without sharing the raw data. Nevertheless, recent studies show that an adversary can still be possible to infer private
Externí odkaz:
http://arxiv.org/abs/2312.06989