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Fake News Detection: Extendable to Global Heterogeneous Graph Attention Network with External Knowledge
Y Guo, L Qiao, Z Yang, J **ang… - Tsinghua Science and …, 2024 - ieeexplore.ieee.org
Distinguishing genuine news from false information is crucial in today's digital era. Most of
the existing methods are based on either the traditional neural network sequence model or …
the existing methods are based on either the traditional neural network sequence model or …
KDGAN: Knowledge distillation‐based model copyright protection for secure and communication‐efficient model publishing
Deep learning‐based models have become ubiquitous across a wide range of applications,
including computer vision, natural language processing, and robotics. Despite their efficacy …
including computer vision, natural language processing, and robotics. Despite their efficacy …
Lightweight Super-Resolution Model for Complete Model Copyright Protection
Deep learning based techniques are broadly used in various applications, which exhibit
superior performance compared to traditional methods. One of the mainstream topics in …
superior performance compared to traditional methods. One of the mainstream topics in …
Copyright and Data Privacy Protection for Generative Adversarial Networks Application
B **e - 2024 - scholarworks.gsu.edu
Deep learning-based techniques are broadly used in a variety of applications such as image
recognition, natural language processing, etc., which express leading performance than …
recognition, natural language processing, etc., which express leading performance than …
Performance Analysis of K-Degree Anonymization on Barabási-Albert Graph
Öz Anonimlik, çizge tabanlı sosyal ağların sayısının artmasıyla ortaya çıkan en önemli
sorunlardan biridir. Çizgeye bazı düğümler ekleyerek veya çıkararak anonimliği sağlamak …
sorunlardan biridir. Çizgeye bazı düğümler ekleyerek veya çıkararak anonimliği sağlamak …