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In this paper, we propose a differentially private defense method that handles both types of attacks in a time-efficient manner by tuning only one parameter, ...
Mar 13, 2022 · We are the first to propose a one-parameter defense method that requires only one parameter to be tuned, the privacy budget. This method ...
Sep 8, 2024 · The central idea is to modify and normalize the confidence score vectors with a differential privacy mechanism which preserves privacy and ...
Methods that can combat both types of attacks require a new model to be trained, which may not be time-efficient. In this paper, we propose a differentially ...
Mar 13, 2022 · This paper proposes a differentially private defense method that handles both types of attacks in a time-efficient manner by tuning only one ...
The central idea is to modify and normalize the confidence score vectors with a differential privacy mechanism which preserves privacy and obscures membership ...
Duration: 6:46
Posted: Nov 28, 2022
Posted: Nov 28, 2022
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Dive into the research topics of 'One Parameter Defense: Defending Against Data Inference Attacks via Differential Privacy'. Together they form a unique ...
A model inversion attack is a privacy attack where the attacker is able to reconstruct the original samples that were used to train the synthetic model.
Differential privacy (DP) has been used to defend against MIA with rigorous privacy guarantee by perturbing model weights. In this paper, we investigate the ...