AI & ML
impact 34
SLIM: Stealthy Low-Coverage Black-Box Watermarking via Latent-Space Confusion Zones
SLIM: Stealthy Low-Coverage Black-Box Watermarking via Latent-Space Confusion Zones arXiv:2601.03242v2 Announce Type: replace Abstract: Training data is a critical and often proprietary asset in Large Language Model (LL…
Why it matters
Context is key—slim has been building for months. This development could accelerate changes in stealthy.