CSF: Black-box Fingerprinting via Compositional Semantics for Text-to-Image Models

2026-04-21T07:23:31Z22720f4574794402b8b8f9bf33413e52c8eceba0fe73f04c27a3f9ed9a83cc51
PIIagent-protocolsblack-box-attributionblockchaincashback-double-dipconsent-modelcumulative-PII-exposuredata-availabilityfinancial-fraudintellectual-propertylight-clientslocalized-guardrailsmachine-learning-securitymemory-governancemnemonic-sovereigntymodel-extractionmulti-turn-LLMpolynomial-multiproofsprivacy-protectionreward-abusespectral-adversarial-attacksstate-space-modelsstateful-backdoorstext-to-image-fingerprinting

What happened

This feed contains multiple new security-relevant ML, financial, privacy, and blockchain papers. Key items: (1) CSF: a practical black‑box compositional semantic fingerprinting method to attribute fine‑tuned text‑to‑image models via rare prompt compositions (IP/provenance tool for API‑only models). (2) A systematic threat analysis of state‑space models (SSMs) that defines an SSM attack surface and introduces three novel attacks — spectral adversarial attacks, delayed‑trigger stateful backdoors, and state capacity saturation — with empirical validation in safety‑critical domains (genomics, clin

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_cr
Record identifier
22720f4574794402b8b8f9bf33413e52c8eceba0fe73f04c27a3f9ed9a83cc51
Enrichment time
2026-04-21T07:23:31Z
AI-assisted enrichment
Yes

This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.