mlsanityData to 7 Oct 2026

Feedback Lunch: Learned Feedback Codes for Secure Communications

arXiv 2510.16620 ↗First posted 18 Oct 2025cs.IT cs.AI cs.CRcited by 1

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Abstract (arXiv)

We consider reversely-degraded secure-communication channels, for which the secrecy capacity is zero if there is no channel feedback. Specifically, we focus on a seeded modular code design for the block-fading Gaussian wiretap channel with channel-output feedback, combining universal hash functions for security and learned feedback-based codes for reliability. The trade-off between communication reliability and information leakage is studied, illustrating that feedback enables agreeing on a secret key shared between legitimate parties, overcoming the security advantage of the eavesdropper. Our findings motivate code designs for sensing-assisted secure communications in the context of integrated sensing and communication (ISAC).

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 7 of its 21 references that are in the map. First posted on arXiv 18 Oct 2025.

Builds on

7 of 21 references.

References · 7

  1. 2018MINE: Mutual Information Neural Estimationcited by 680
  2. 2020CLUB: A Contrastive Log-ratio Upper Bound of Mutual Informationcited by 233
  3. 2019Understanding the Limitations of Variational Mutual Information Estimatorscited by 140
  4. 2022No Free Lunch Theorem for Security and Utility in Federated Learningcited by 39
  5. 2023Mutual Information Estimation via f-Divergence and Data Derangementscited by 17
  6. 2024LightCode: Light Analytical and Neural Codes for Channels with Feedbackcited by 4
  7. 2023Secure Integrated Sensing and Communicationcited by 3

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Citing papers per year: 2026: 1.

1 paper.