{"data":{"id":"489c27d9-2274-4079-a70e-75110151b24a","title":"Critical Compilation Strictness for Certified Selective Hardening Against Compiler-Conditioned DNN Backdoors","summary":"This research defines critical compilation strictness, the smallest set of enforceable source and reference-semantic sites whose protection excludes a prescribed decision violation across all legal joint compiler configurations on a declared input domain. On a five-site ConvNet under PyTorch 2.6.0+cpu with the Inductor backend, the triggered target-label proportion rises from 0.1078 under eager execution to 0.9996 under compilation, and protecting only the feature stem is the unique minimum decision-preserving policy. The authors report that selective strictness reduces warmed batch latency by roughly 29% relative to all-strict execution.","solution":"The source discusses selective strictness as a protection policy: protecting only the minimal set of sites, such as the feature stem in the ConvNet case, preserves the decision. It does not describe a specific patch, fixed version, or configuration change for end users.","labels":["security","research"],"sourceUrl":"https://doi.org/10.3390/electronics15204804","publishedAt":"2026-10-18T00:00:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["other"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["PyTorch","ONNX Runtime","VGG16-BN"],"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":"2026-10-18T00:00:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","safety"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}