no code implementations • 1 Jul 2023 • Anvith Thudi, Hengrui Jia, Casey Meehan, Ilia Shumailov, Nicolas Papernot
Put all together, our evaluation shows that this novel DP-SGD analysis allows us to now formally show that DP-SGD leaks significantly less privacy for many datapoints (when trained on common benchmarks) than the current data-independent guarantee.
1 code implementation • NeurIPS 2023 • Casey Meehan, Florian Bordes, Pascal Vincent, Kamalika Chaudhuri, Chuan Guo
Self-supervised learning (SSL) algorithms can produce useful image representations by learning to associate different parts of natural images with one another.
no code implementations • ACL 2022 • Casey Meehan, Khalil Mrini, Kamalika Chaudhuri
User language data can contain highly sensitive personal content.
no code implementations • 13 Jan 2022 • Tatsuki Koga, Casey Meehan, Kamalika Chaudhuri
When this is the case, we observe that the influence of a single participant (sensitivity) can be reduced by subsampling and/or filtering in time, while still meeting privacy requirements.
no code implementations • ICLR 2022 • Casey Meehan, Amrita Roy Chowdhury, Kamalika Chaudhuri, Somesh Jha
\ldp deployments are vulnerable to inference attacks as an adversary can link the noisy responses to their identity and subsequently, auxiliary information using the \textit{order} of the data.
no code implementations • 11 Jun 2021 • Casey Meehan, Amrita Roy Chowdhury, Kamalika Chaudhuri, Somesh Jha
ldp deployments are vulnerable to inference attacks as an adversary can link the noisy responses to their identity and subsequently, auxiliary information using the order of the data.
1 code implementation • 23 Feb 2021 • Casey Meehan, Kamalika Chaudhuri
Providing meaningful privacy to users of location based services is particularly challenging when multiple locations are revealed in a short period of time.
1 code implementation • 12 Apr 2020 • Casey Meehan, Kamalika Chaudhuri, Sanjoy Dasgupta
Detecting overfitting in generative models is an important challenge in machine learning.
no code implementations • 9 Dec 2019 • Casey Meehan, Kamalika Chaudhuri
Providing meaningful privacy to users of location based services is particularly challenging when multiple locations are revealed in a short period of time.