{"data":{"id":"cad879df-c96f-4e6c-bbb2-45c3406f0c62","title":"GNConvNet: a group normalization convolutional neural network for robust and secure channel estimation in next-generation OFDM systems","summary":"GNConvNet is a compact fully-convolutional channel estimator for OFDM systems that replaces Batch Normalization with Group Normalization and trains with a teacher-student defensive distillation framework. On a 512-realisation MATLAB 5G Toolbox dataset, it achieves a 13.1% total mean-MSE reduction over the BN baseline across 15 matched-seed trials and yields 5 to 58 times lower malicious MSE under FGSM, BIM, MIM and PGD attacks at epsilon 3.0.","solution":"N/A -- no mitigation discussed in source.","labels":["research","security"],"sourceUrl":"https://doi.org/10.1016/j.jestch.2026.102545","publishedAt":"2026-10-26T00:00:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_evasion"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-10-26T00:00:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","availability"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}