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Jay Tenenbaum

3 accepted papers

2023

Concurrent Shuffle Differential Privacy Under Continual Observation

ICML 2023poster

We introduce the concurrent shuffle model of differential privacy. In this model we have multiple concurrent shufflers permuting messages from different, possibly overlapping, batches of users. Similarly to the standard (single) shuffler model, the privacy requirement is that the concatenation of al…

Cited by 2SourcePDFScholar
2023

Prompt-to-Prompt Image Editing with Cross-Attention Control

ICLR 2023top-25%

Recent large-scale text-driven synthesis diffusion models have attracted much attention thanks to their remarkable capabilities of generating highly diverse images that follow given text prompts. Therefore, it is only natural to build upon these synthesis models to provide text-driven image editing…

2021

Differentially Private Multi-Armed Bandits in the Shuffle Model

NeurIPS 2021poster

We give an $(\varepsilon,\delta)$-differentially private algorithm for the Multi-Armed Bandit (MAB) problem in the shuffle model with a distribution-dependent regret of $O\left(\left(\sum_{a:\Delta_a>0}\frac{\log T}{\Delta_a}\right)+\frac{k\sqrt{\log\frac{1}{\delta}}\log T}{\varepsilon}\right)$, and…

Cited by 39SourcePDFScholar