2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2026
OpenStamp: A Watermark for Open-Source Language Models
Miroojin Bakshi, Saksham Rastogi, Danish Pruthi
With the growing prevalence of large language model (LLM) generated content, watermarking is considered a promising approach for attributing text to LLMs and distinguishing it from…
cs.LG2025
STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings
Saksham Rastogi, Pratyush Maini, Danish Pruthi
Given how large parts of publicly available text are crawled to pretrain large language models (LLMs), data creators increasingly worry about the inclusion of their proprietary dat…
cs.CR2024★ 2 cited
Revisiting the Robustness of Watermarking to Paraphrasing Attacks
Saksham Rastogi, Danish Pruthi
Amidst rising concerns about the internet being proliferated with content generated from language models (LMs), watermarking is seen as a principled way to certify whether text was…