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Found 2 papers, 1 papers with code
Less is More: A privacy-respecting Android malware classifier using Federated Learning
In this paper we present LiM ("Less is More"), a malware classification framework that leverages Federated Learning to detect and classify malicious apps in a privacy-respecting manner.
Encrypted DNS --> Privacy? A Traffic Analysis Perspective
Virtually every connection to an Internet service is preceded by a DNS lookup which is performed without any traffic-level protection, thus enabling manipulation, redirection, surveillance, and censorship.
Cryptography and Security
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