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MADE: a Masked Autoencoder Based Desensitization Framework for Encrypted Traffic

Year: 2025

Type: conference-paper

Source: International Conference on Communications

DOI: 10.1109/icc52391.2025.11161683

Authors: Shilin Xie, Fenghua Li, Nan Jiang Jiang, Suxiang Wu, Jilong Wang

Institutions: Tsinghua University, Nanjing University, Zhejiang University

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Tsinghua University

OpenAlex ID: W4414539736

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