LLM Digest

Story

arxiv_cs_lg · May 21, 2026 · paper

Source brief

Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees

arxiv.orgMay 21, 2026
original source linked

In brief

Random forests are widely used in fields involving sensitive tabular data, but existing approaches to enforcing differential privacy (DP) typically degrade performance to the point of impracticality. In this paper, we...

Read the original at arxiv.org →Open in live feed

Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees

Earlier in this thread 4 items

Anthropic Introduces MCP Tunnels for Private Agent Access to Internal Systems

Agent skill for UB detection in Rust

A Scalable Nonparametric Continuous-Time Survival Model through Numerical Quadrature

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction