{"data":{"id":"2a1d2412-d475-49ef-a631-368708c29a43","title":"PANDA: Diffusion-Guided Purification and Adaptation for Robust Point Cloud Classification Against Adversarial Attack","summary":"Deep learning point cloud classifiers are highly vulnerable to adversarial attacks, and existing diffusion-based purification defenses have a distributional gap and a semantic mismatch. The authors propose PANDA, a two-stage framework: PANDA-P trains a dual-branch diffusion purifier on both clean-to-clean and adversarial-to-clean paths, and PANDA-A fine-tunes the classifier with a consistency-driven objective to recalibrate its decision boundary. The source reports consistently superior robustness over existing purification-based defenses on synthetic and real-world benchmarks.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11612940","publishedAt":"2026-07-17T13:19:05.000Z","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":"2026-07-17T13:19:05.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":"peer_reviewed","atlasIds":null}}