DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
This paper received the outstanding benchmarks track paper award during NeurIPS 2023 (opens in new tab). How trustworthy are generative pre-trained transformer (GPT) models? To answer this question, University of Illinois Urbana-Champaign, together with Stanford…
End-to-End Encrypted Group Chats with MLS: Design, Implementation and Verification
MLS is a new IETF standard that deals with secure, end-to-end encrypted group messaging. In this work, recently awarded the Internet Defense Prize and a Distinguished Paper Award at USENIX, Théophile will describe how the…
Microsoft Research India – who we are.
Employees from Microsoft Research India talk about their work, their aspirations to change the world and what makes MSR India such a great place to work in.
Intern Insights: Dr. Josh Benaloh with Anunay Kulshrestha and Karan Newatia
Every year, interns help advance research at Microsoft. In “Intern Insights,” PhD students Anunay Kulshrestha and Karan Newatia talk with cryptographer Josh Benaloh about working on the verifiable election technology ElectionGuard.
Rethinking trust in direct messages in the AI era
Microsoft researchers are proposing a new way to ensure greater trust and accountability in email, texts, direct messages on social platforms, even phone calls, to help mitigate sophisticated threats from AI-related scams and fraud.