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06/28/2023
Boost: Effective Caching in Differentially-Private Databases
Differentially private (DP) databases can enable privacy-preserving anal...
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12/26/2022
Packing Privacy Budget Efficiently
Machine learning (ML) models can leak information about users, and diffe...
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05/12/2022
How to Combine Membership-Inference Attacks on Multiple Updated Models
A large body of research has shown that machine learning models are vuln...
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06/29/2021
Privacy Budget Scheduling
Machine learning (ML) models trained on personal data have been shown to...
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05/23/2020
Pythia: Grammar-Based Fuzzing of REST APIs with Coverage-guided Feedback and Learning-based Mutations
This paper introduces Pythia, the first fuzzer that augments grammar-bas...
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09/04/2019
Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform
Companies increasingly expose machine learning (ML) models trained over ...
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02/09/2018
