Feb 4, 2024 · In this paper, we design privacy-preserving mechanisms based on differential privacy for the client and server side respectively for the first ...
Feb 4, 2024 · In this paper, we design privacy-preserving mechanisms based on differential privacy for the client and server side respectively for the first ...
Feb 21, 2024 · In this paper, we design privacy-preserving mechanisms based on differential privacy for the client and server side respectively for the first ...
Protecting bilateral privacy in Machine Learning-as-a-Service: a differential privacy based defense ; National Research Council of Canada. Digital Technologies.
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Protecting Bilateral Privacy in Machine Learning-as-a-Service: A Differential Privacy Based Defense · Author Picture Le Wang,; Author Picture Haonan Yan,; + 2.
Jan 31, 2024 · We investigate a novel personalized local differential privacy mechanism to defend against the attack. We obfuscate the model by adding high- ...
Duration: 23:56
Posted: Mar 8, 2022
Posted: Mar 8, 2022
Missing: Protecting Bilateral Service: Defense.
In this paper, we provide the theoretical founda- tion for implementing deep neural network algorithms in encrypted domain and develop techniques to adopt.
Missing: Bilateral | Show results with:Bilateral
Aug 17, 2023 · Model Inversion Attacks constitute a sophisticated privacy intrusion where an attacker endeavors to reconstruct original input data by reverse- ...
Oct 30, 2023 · The Federal Government will enforce existing consumer protection laws and principles and enact appropriate safeguards against fraud, unintended ...