SABER: Scaling-Aware Best-of-N Estimation of Risk
Scaling-Aware Best-of-N Estimation of Risk A Python package for predicting large-scale adversarial risk in Large Language Models under Best-of-N sampling. Paper: https://arxiv.org/pdf/2601.22636 (opens in new tab) Standard LLM safety evaluations use single-shot (ASR@1) metrics,…
CROSS — Leveraging AI ASICs for Homomorphic Encryption
Artificial Intelligence (AI) is driving a new industrial revolution, transforming human workflows increasingly into digital tokens, i.e., tokenizing the entire world. However, this transformation exposes sensitive data at an unprecedented scale, leading to heavy privacy…
Hardware Realization and Implementation Security Evaluation of HQC, A NIST PQC Standard
Quantum computing is no longer a distant dream, its rapid progress is poised to revolutionize various fields from drug discovery to optimization. But this leap forward comes with a critical caveat: the pre-quantum public-key cryptographic…