Watermarking as Monitoring Primitive for Generative Models
A recent study published on arXiv posits that watermarking in generative models ought to be regarded as a monitoring primitive instead of just a means to evade detection. The researchers present an observer-based threat model, indicating that even zero-bit watermarking allows for entity-level attribution in multi-key scenarios. They illustrate that over time, external monitoring can develop from consistent, key-dependent statistical structures, although this could be lessened by undetectable or distribution-preserving methods. The results highlight an essential dual-use tension inherent in watermark design.
Key facts
- Watermarking is proposed for provenance, attribution, and safety monitoring in generative models.
- Typically evaluated against adversaries evading detection or inducing false positives at individual sample level.
- Paper argues watermarking should be treated as a monitoring primitive.
- Internal monitoring is unavoidable given per-entity attribution keys and messages.
- Observer-based threat model allows aggregation of watermark signals across outputs.
- Zero-bit watermarking enables attribution under multi-key settings.
- External monitoring can emerge over time from persistent, key-dependent statistical structure.
- Dual-use tension exists between monitoring and evasion.
Entities
Institutions
- arXiv