{"data":{"id":"ad289859-d981-4ce0-bc3a-ed67191b279a","title":"ChipGuard-AI: A Hardware-Assisted Unified Framework for Adversarial and Side-Channel Resilience in Consumer Electronics","summary":"ChipGuard-AI is a hardware-assisted framework that co-designs adversarial input detection, multi-modal side-channel countermeasures and Physical Unclonable Function-rooted device authentication on a shared security substrate. A dedicated Security Processing Unit tracks a cross-domain security state vector, and a Deep Q-Network policy allocates countermeasures. On CIFAR-10 and ChipWhisperer traces it reports 97.3% adversarial detection accuracy and 89.7% side-channel leakage reduction at 12.4% computational overhead on a Xilinx Zynq UltraScale+ FPGA.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://doi.org/10.3390/app16199862","publishedAt":"2026-10-05T00:00:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_evasion","data_extraction"],"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":"2026-10-05T00:00:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality","integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}