{"data":{"id":"a6007aff-9a37-465c-8a34-56cfa0193034","title":"Post-Quantum Secure Semantic Communication With Discrete Latent Representations","summary":"This research paper proposes a post-quantum secure semantic communication (PQSC) framework that protects data transmission against both eavesdropping and future quantum computing threats. The framework combines learning with errors (LWE, a type of encryption believed to resist quantum attacks) with VQ-VAE (a neural network compression technique) to send information efficiently while keeping it secure. Experiments show this approach works better than existing methods across different network conditions and data types.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11570855","publishedAt":"2026-06-18T13:16:36.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["Nvidia"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-06-18T13:16:36.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.75,"researchCategory":"peer_reviewed","atlasIds":null}}