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

Video

Privacy-Preserving Domain Adaptation of Semantic Parsers

July 7, 2023 | Fatemehsadat Mireshghallah

Task-oriented dialogue systems often assist users with personal or confidential matters. For this reason, the developers of such a system are generally prohibited from observing actual usage. So how can they know where the system…

06:06

Publication

Core slicing: closing the gap between leaky confidential VMs and bare-metal cloud

Ziqiao Zhou, Yizhou Shan, Weidong Cui, Xinyang Ge, Marcus Peinado, Andrew Baumann

17th USENIX Symposium on Operating Systems Design and Implementation | July 2023

Publication

Bayesian Estimation of Differential Privacy

Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Ruehle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones

2023 International Conference on Machine Learning | July 2023

Editor(s): Barbara Engelhardt, Emma Brunskill, Kyunghyun Cho

Project

Publication

Two-in-One: A Model Hijacking Attack Against Text Generation Models

Wai Man Si, Michael Backes, Yang Zhang, Ahmed Salem

USENIX Security Symposium | July 2023

Publication

UnGANable: Defending Against GAN-based Face Manipulation

Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang

USENIX Security Symposium | July 2023

Publication

End-to-end Privacy Preserving Training and Inference for Air Pollution Forecasting with Data from Rival Fleets

Gauri Gupta, Krithika Ramesh, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Nishanth Chandran, Rijurekha Sen

Privacy Enhancing technologies Symposium (PETS) 2023 | July 2023

Project

Publication

Nimble: Rollback Protection for Confidential Cloud Services

Sebastian Angel, Aditya Basu, Weidong Cui, Trent Jaeger, Stella Lau, Srinath Setty (srinath), Sudheesh Singanamalla

17th USENIX Symposium on Operating Systems Design and Implementation | July 2023

Publication

“My face, my rules”: Enabling Personalized Protection Against Unacceptable Face Editing

Zhujun Xiao, Jenna Cryan, Yuanshun Yao, Yi Hong Gordon Cheo, Yuanchao Shu, Stefan Saroiu, Ben Y. Zhao, Haitao Zheng

Privacy Enhancing Technologies Symposium (PETS) | June 2023

Publication

Creating Trust by Abolishing Hierarchies

Charly Castes, Adrien Ghosn, Neelu S. Kalani, Yuchen Qian, Marios Kogias, Mathias Payer, Edouard Bugnion

June 2023

Publication

Using Website Referrals to Identify Misinformation Rabbit Holes

Kevin T Greene, Mayana Pereira, Nilima Pisharody, Rahul Dodhia, Juan M. Lavista Ferres, Jacob N Shapiro

June 2023

Security, privacy, and cryptography

Highlights