{"data":{"id":"e95e6288-c121-4b13-bd6a-7cb27b66fc31","title":"HiMark: Hierarchical and Controllable Multi-bit Watermarking for Large Language Models","summary":"HiMark is a multi-bit watermarking framework for LLM-generated text that embeds provenance information using hierarchical candidate control and tournament elimination during generation. Its model-agnostic detector aggregates token-level evidence to extract the watermark. In experiments, it reached 90.01% extraction accuracy under a paraphrasing attack with 32 bits embedded in a 300-token text, while maintaining text quality.","solution":"N/A -- no mitigation discussed in source.","labels":["research","security"],"sourceUrl":"https://arxiv.org/abs/2610.30601v1","publishedAt":"2026-10-22T02:05:29.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"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":"2026-10-22T02:05:29.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.93,"researchCategory":"preprint","atlasIds":null}}