illustration of lock, four asterisks and a shield with a fingerprint on it on a green gradient background

Security, privacy, and cryptography

Leveraging Large Language Models for Automated Proof Synthesis in Rust

photos of PhD students Anunay Kulshrestha and Karan Newatia with a photo of Senior Cryptographer Josh Benaloh in the middle with a microphone icon on a blue and purple gradient background

Intern Insights: Dr. Josh Benaloh with Anunay Kulshrestha and Karan Newatia

Bayes Security (β*, higher better) of DP-SGD against membership and attribute inference on the Adult and Purchase datasets as a function of the number of training steps. The green dashed line shows the corresponding DP budget (ε). Membership and attribute inference curves decrease monotonically as the model is trained for longer and the accuracy and DP budget grow.

Closed-Form Bounds for DP-SGD against Record-level Inference

ProvCam: A Camera Module with Self-Contained TCB for Producing Verifiable Videos

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Published Date

Publication

VeriSMo: A Verified Security Module for Confidential VMs

Ziqiao Zhou, Anjali, Weiteng Chen, Sishuai Gong, Chris Hawblitzel, Weidong Cui

OSDI 2024 | July 2024

Jay Lepreau Best Paper Award

Awarded Best Paper!

Github Project

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M365 Research

Pioneering advancements in AI and Systems

Publication

Statistic Maximal Leakage

Shuaiqi Wang, Zinan Lin, Giulia Fanti

IEEE International Symposium on Information Theory 2024 | July 2024

Project

Publication

Can LLMs be Fooled? Investigating Vulnerabilities in LLMs

Sara Abdali, Jia He, CJ Barberan, Richard Anarfi

July 2024

Publication

Differentially Private Synthetic Data via Foundation Model APIs 2: Text

Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin

ICML 2024 | July 2024

Spotlight

Project

Publication

LSKV: A Confidential Distributed Datastore to Protect Critical Data in the Cloud

Andrew Jeffery, Julien Maffre, Heidi Howard, Richard Mortier

July 2024

Project

Publication

Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition

Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Ahmed Salem, Rui Wen, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramer, Sahar Abdelnabi, Lea Schönherr

NeurIPS 2024 | June 2024

Project

Publication

Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting

Ana-Maria Cretu, Daniel Jones, Yves-Alexandre de Montjoye, Shruti Tople

Proceedings on Privacy Enhancing Technologies 2024 | June 2024

Publication

SIGMA: Secure GPT Inference with Function Secret Sharing

Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, Rahul Sharma

Privacy Enhancing technologies Symposium (PETS) 2024 | June 2024

Project

Dataset Source Code

Private Benchmarking

A platform that enables users to perform private benchmarking of machine learning models. The platform facilitates the evaluation of models based on different trust levels between the model owners and the dataset owners.

GitHub Publication

Security, privacy, and cryptography

Highlights