Security, privacy, and cryptography
Career Opportunity
Principal Applied Science Manager
Microsoft Bing’s RAI Defensives team is focused on keeping Bing safe for our customers by detecting queries and content that require due diligence for the best user experience. All this using the state-of-the-art deep learnt…
Tool
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,…
Video
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…
Career Opportunity
Research Intern – AI Safety and Security
Protecting large language models (LLMs) from malicious inputs is critical. LLMs can also be used to protect users from malicious attacks. The Deep Learning Team in Microsoft Research – Redmond is seeking Research Interns interested…
Publication
Contextualized Privacy Defense for LLM Agents
Video
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…
