Dec 21, 2021 · To preserve the privacy of IoT datasets, traditional methods usually calibrate random noises on the data values to achieve differential privacy ...
To preserve the privacy of IoT datasets, traditional methods usually calibrate random noises on the data values to achieve differential privacy (DP) [1].
Dec 31, 2023 · To preserve the privacy of IoT datasets, traditional methods usually calibrate random noises on the data values to achieve differential privacy ...
To preserve the privacy of IoT datasets, traditional methods usually calibrate random noises on the data values to achieve differential privacy (DP) ...
Jul 26, 2024 · We study the problem of preserving privacy while still providing high utility in sequential decision making scenarios in a changing environment.
Apr 1, 2023 · To preserve the privacy of IoT datasets, traditional methods usually calibrate random noises on the data values to achieve differential privacy ...
A Stochastic Perturbation Approach based on Differential Privacy
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Data Level Privacy Preserving: A Stochastic Perturbation Approach based on Differential Privacy ; Author. Ma, Chuan ; Yuan, Long ; Han, Li ; Ding, Ming ORCID ID ...
Duration: 0:38
Posted: Sep 1, 2023
Posted: Sep 1, 2023
Apr 26, 2019 · Differential privacy is a data disturbance mechanism. Dwork et al. proposed the definition of differential privacy, which solved the two ...
Missing: Stochastic | Show results with:Stochastic
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Jul 30, 2024 · Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy (Extended abstract). ICDE 2024: 5721-5722.