A framework that perturbs private semantic representations with learnable DP noise via GAN inversion and adversarial training to secure image SemCom over wiretap channels with tunable privacy levels.
Secure semantic communication with homomorphic encryption
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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UNVERDICTED 3representative citing papers
Agentic AI enables coverless semantic steganography without private keys or cover images, delivering higher capacity and security than prior schemes in semantic communication.
Proposes a cross-layer intellicise network architecture grounded in multiple theories to support intelligent complex systems, with reviews of enabling technologies and a case study.
citing papers explorer
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Privacy-Preserving Semantic Communication over Wiretap Channels with Learnable Differential Privacy
A framework that perturbs private semantic representations with learnable DP noise via GAN inversion and adversarial training to secure image SemCom over wiretap channels with tunable privacy levels.
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Secure Intellicise Wireless Network: Agentic AI for Coverless Semantic Steganography Communication
Agentic AI enables coverless semantic steganography without private keys or cover images, delivering higher capacity and security than prior schemes in semantic communication.
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Evolving Intelligent Complex Systems via Intellicise Networks: Architecture, Technologies, and Pathways
Proposes a cross-layer intellicise network architecture grounded in multiple theories to support intelligent complex systems, with reviews of enabling technologies and a case study.