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Found 3 papers, 1 papers with code
Node Injection Link Stealing Attack
Furthermore, we examine the application of differential privacy (DP) mechanisms to mitigate the impact of our proposed attack, we analyze the trade-off between privacy preservation and model utility.
Differentially Private Adversarial Auto-Encoder to Protect Gender in Voice Biometrics
In this paper, we present an adversarial Auto-Encoder--based approach to hide gender-related information in speaker embeddings, while preserving their effectiveness for speaker verification.
Efficient passive membership inference attack in federated learning
In cross-device federated learning (FL) setting, clients such as mobiles cooperate with the server to train a global machine learning model, while maintaining their data locally.
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