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.

Read full article at arXiv Security →

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