{"data":{"id":"bc8d10ad-b04f-41d3-a478-0447dd4db6aa","title":"Program-Level Adversarial Co-Adaptive Self-Play for Robotic Security","summary":"Coding agents can adapt robotic software by revising executable programs, but successful responses to an evolving opponent may not stay effective. The authors present a framework for program-level adversarial co-adaptive self-play, where agents generate attacks and defenses from tested opponent code and mission feedback without model fine-tuning. Two eight-generation case studies, one on autonomous driving and one on humanoid locomotion, show local task recovery but no sustained robustness.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://arxiv.org/abs/2610.36143v2","publishedAt":"2026-10-26T18:49:21.000Z","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":"2026-10-26T18:49:21.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","safety"],"aiComponentTargeted":"agent","llmSpecific":false,"classifierConfidence":0.8,"researchCategory":"preprint","atlasIds":null}}