3 papers
cs.LG2026
Quantizing With Randomized Hadamard Transforms: Efficient Heuristic Now Proven
Ran Ben-Basat, William Kuszmaul, Michael Mitzenmacher +2
Uniform random rotations (URRs) are a common preprocessing step in modern quantization approaches used for gradient compression, inference acceleration, KV-cache compression, model…
cs.LG2026
A Note on TurboQuant and the Earlier DRIVE/EDEN Line of Work
Ran Ben-Basat, Yaniv Ben-Itzhak, Gal Mendelson +3
This note clarifies the relationship between the recent TurboQuant work and the earlier DRIVE (NeurIPS 2021) and EDEN (ICML 2022) schemes. DRIVE is a 1-bit quantizer that EDEN exte…
cs.CR2024
Towards Automatic Hands-on-Keyboard Attack Detection Using LLMs in EDR Solutions
Amit Portnoy, Ehud Azikri, Shay Kels
Endpoint Detection and Remediation (EDR) platforms are essential for identifying and responding to cyber threats. This study presents a novel approach using Large Language Models (…