Setloop/What-Gradients-Add-to-Text-Leakage-in-Split-Language-Models-Counted-per-Token-and-per-Document

Reproduction and peer-review release In plain language What Gradients Add to Text Leakage in Split Language Models, Counted per Token and per Document — A few percent more words — or three times as many whole documents. Both numbers are true; only one is honest. If an attacker sees the gradients a server returns during training, not just the forward messages, how much more of your text can they rebuild? Measured per word, the gain looks modest. Measured per… See the full description on the dataset page: https://huggingface.co/datasets/Setloop/What-Gradients-Add-to-Text-Leakage-in-Split-Languag

<iframe src="https://silytics.si/embed/item/cbbe448b-43a6-42d6-95d7-42fe80a4d8ee" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.