{"data":{"id":"75c66f12-a6b5-4adf-9641-013d07288856","title":"Anchored Rank-Adversarial Fine-Tuning Pretrained Visual Place Recognition Models","summary":"Foundation-model visual place recognition models such as SuperVLAD and BoQ keep at most 0.2% top-1 recall under a white-box ranking attack at a 1/255 budget. The proposed anchored rank-adversarial fine-tuning (ARAFT) raises robust R@1 from zero to 47.3 on SuperVLAD and 55.3 on BoQ within five clean R@1 points, where plain adversarial training yields no admissible checkpoint. ARAFT also transfers from SuperVLAD to BoQ without re-tuning and holds against stronger optimisers.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://arxiv.org/abs/2611.05286v1","publishedAt":"2026-11-03T18:01:18.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_evasion"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["SuperVLAD","BoQ"],"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":"2026-11-03T18:01:18.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.9,"researchCategory":"preprint","atlasIds":null}}