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An increasingly popular method for computing aggregate statistics while preserving users’ privacy is local differential privacy (LDP). Under this model,…
An increasingly popular method for computing aggregate statistics while preserving users’ privacy is local differential privacy (LDP). Under this model,…
Trusted execution environments (TEE) such as Intel’s Software Guard Extension (SGX) have been widely studied to boost security and privacy…
Trusted execution environments (TEE) such as Intel’s Software Guard Extension (SGX) have been widely studied to boost security and privacy…
We propose a novel framework for real-time black-box universal attacks which disrupts activations of early convolutional layers in deep learning…
We propose a novel framework for real-time black-box universal attacks which disrupts activations of early convolutional layers in deep learning…
We propose a novel framework for real-time black-box universal attacks which disrupts activations of early convolutional layers in deep learning…
Federated learning has arisen as a mechanism to allow multiple participants to collaboratively train a model without sharing their data.…
Federated learning has arisen as a mechanism to allow multiple participants to collaboratively train a model without sharing their data.…
Federated learning has arisen as a mechanism to allow multiple participants to collaboratively train a model without sharing their data.…
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