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cs.CR2026
Watermarkable Multi-Draft Speculative Sampling via Poisson Processes
Yanxiao Liu, Sicheng Wan, Zhan Gao +1
Large language models (LLMs) have achieved state-of-the-art performance across a wide range of tasks, motivating two important aspects of deployment: inference efficiency and outpu…
cs.CR2026
Scalable Differentially Private Data Compression via Diffusion and Stochastic Codes
Gergely Flamich, Oykü Sıla Güner, Yanxiao Liu +1
The ever-increasing collection of personal data has created mounting pressure to develop technologies that protect sensitive aspects of individual identity. Differential privacy (D…