Author

Anshul Nasery

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#artificial intelligence Preprint Oct 2026

Language Model Fingerprinting Requires Rethinking Watermark Teachers

LLM fingerprinting via watermark distillation embeds a statistical watermark signal into model weights, enabling model owners to identify their models behind black-box APIs. Revisiting a recent protocol, we find that its utility evaluation understates text quality degradation in open-ended generation, favoring overly s...

Jeongyeon Hwang, Anshul Nasery, Sewoong Oh et al. · 0 citations

#machine learning Oct 2023

Label Differential Privacy via Aggregation

This paper demonstrates that aggregating labels from sub-sampled disjoint $k$-sized bags using i.i.d. weights allows for similar label-DP guarantees when aggregating labels over random disjoint bags, while preserving the utility of Lipschitz-bounded neural mse-regression tasks.

Anand Brahmbhatt, Rishi Saket, Shreyas Havaldar et al. · arXiv.org · 1 citation · ⚡1