36 citations · 192 across the 32 of their papers we have counts for
23 papers · 1 filter
Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment
Rachel Cummings, Damien Desfontaines, David Evans +21
In this article, we present a detailed review of current practices and state-of-the-art methodologies in the field of differential privacy (DP), with a focus of advancing DP's depl…
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
Zhuoqun Huang, Neil G. Marchant, Keane Lucas +3
Randomized smoothing is a leading approach for constructing classifiers that are certifiably robust against adversarial examples. Existing work on randomized smoothing has focused…
Tight Data Access Bounds for Private Top- Selection
Hao Wu, Olga Ohrimenko, Anthony Wirth
We study the top- selection problem under the differential privacy model: items are rated according to votes of a set of clients. We consider a setting in which algorithms c…
Single Round-trip Hierarchical ORAM via Succinct Indices
William Holland, Olga Ohrimenko, Anthony Wirth
Access patterns to data stored remotely create a side channel that is known to leak information even if the content of the data is encrypted. To protect against access pattern leak…
Protecting Global Properties of Datasets with Distribution Privacy Mechanisms
Michelle Chen, Olga Ohrimenko
We consider the problem of ensuring confidentiality of dataset properties aggregated over many records of a dataset. Such properties can encode sensitive information, such as trade…
Walking to Hide: Privacy Amplification via Random Message Exchanges in Network
Hao Wu, Olga Ohrimenko, Anthony Wirth
The *shuffle model* is a powerful tool to amplify the privacy guarantees of the *local model* of differential privacy. In contrast to the fully decentralized manner of guaranteeing…