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Wireless Backdoor Attack and Defense for Semantic Communications over Multiple Access Channel

arXiv 2606.30595 ↗First posted 29 Jun 2026cs.NI cs.CR cs.ITcited by 0

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Abstract (arXiv)

Semantic communication (SemCom) aims to preserve semantic meaning and task-oriented information beyond conventional message recovery over wireless channels. The adoption of SemCom in shared-access wireless networks introduces new vulnerabilities for multi-user semantic inference. This paper considers a SemCom system for two transmitters communicating with a common receiver over a multiple access channel. Each transmitter maps source information into latent semantic representations, while the receiver jointly reconstructs and classifies the semantic information for both transmitters. A selective over-the-air backdoor (Trojan) attack is presented in which an adversary transmits a low-power trigger waveform over the air and injects it into the shared received signal during training. By transmitting the trigger again during testing, this stealthy, low-power attack selectively manipulates the semantic inference for one transmitter while minimally affecting the inference of the other transmitter. To mitigate this vulnerability, a trigger-aware defense mechanism is developed to preserve correct semantic labels under trigger-contaminated wireless observations. The results demonstrate both the vulnerability of shared-access SemCom systems to selective over-the-air backdoor attacks and the effectiveness of trigger-aware robust training for semantic protection.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 11 of its 17 references that are in the map. First posted on arXiv 29 Jun 2026.

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References · 11

  1. 2020Deep Learning Enabled Semantic Communication Systemscited by 292
  2. 2022Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communicationscited by 175
  3. 2022Deep Joint Source-Channel Coding for Semantic Communicationscited by 41
  4. 2021Semantic Communications in Networked Systems: A Data Significance Perspectivecited by 24
  5. 2022Task-Oriented Communications for NextG: End-to-End Deep Learning and AI Security Aspectscited by 20
  6. 2023DeepMA: End-to-end Deep Multiple Access for Wireless Image Transmission in Semantic Communicationcited by 12
  7. 2024Will 6G be Semantic Communications? Opportunities and Challenges from Task Oriented and Secure Communications to Integrated Sensingcited by 11
  8. 2022Vulnerabilities of Deep Learning-Driven Semantic Communications to Backdoor (Trojan) Attackscited by 10
  9. 2023Non-Orthogonal Multiple Access Enhanced Multi-User Semantic Communicationcited by 6
  10. 2024Backdoor Attacks and Defenses on Semantic-Symbol Reconstruction in Semantic Communicationscited by 5
  11. 2025Multi-user Wireless Image Semantic Transmission over MIMO Multiple Access Channelscited by 4

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  1. 2025A Channel-Triggered Backdoor Attack on Wireless Semantic Image Reconstruction
  2. 2026Toward Polymorphic Backdoor against Semantic Communication via Intensity-Based Poisoning
  3. 2025Rethinking Security in Semantic Communication: Latent Manipulation as a New Threat ↗
  4. 2025A Survey of Secure Semantic Communications
  5. 2026Adaptive Dual-Path Framework for Covert Semantic Communication
  6. 2024Toward Mixture-of-Experts Enabled Trustworthy Semantic Communication for 6G Networks
  7. 2023A Comprehensive Overview of Backdoor Attacks in Large Language Models within Communication Networks
  8. 2025Detecting Backdoor Attacks via Similarity in Semantic Communication Systems