📋 Watermark digest
Fine‑tuning —
Pruning —
Distillation —
Weight perturbation
Subtly modifies weights to encode a secret. High capacity, but fragile against fine‑tuning.
# click Generate
📖 FAQ · Weight perturbation modifies weights directly (high capacity, moderate robustness). Trigger‑based embeds a backdoor (robust to pruning, slight accuracy drop). Feature‑based encodes into representations (balanced). Robustness estimates are relative indicators.