Existing systems for metadata-hiding messaging that provide cryptographic privacy properties have either high communication costs, high computation costs, or both. In this paper, we introduce Express, a metadata-hiding communication system that significantly reduces both communication and computation costs. Express is a two-server system that provides cryptographic security against an arbitrary number of malicious clients and one malicious server.
CS Department members, please join us for this special opportunity to come together in fellowship and welcome our newest faculty, graduate students, undergraduate students, postdocs, and staff. The meeting will begin at 3:00 pm, with remarks from the department chair and awards. There will be a prize for the person with the Zoom background that receives the most votes.
We hope you will attend!
A major challenge in the theory of deep learning is to understand the computational complexity of learning simple families of neural networks (NNs). The challenge arises from the non-convexity of the associated optimization problem. This problem is well known to be computationally intractable in the worst case. Prior works have circumvented this hardness by making assumptions on the distribution as well as the label noise.
Differential privacy (DP) has steadily become the de-facto standard for achieving privacy in data analysis, which is typically implemented either in the “central” or “local” model. The local model has been more popular for commercial deployments as it does not require a trusted data collector. This increased privacy, however, comes at a cost of utility and algorithmic expressibility as compared to the central model.
Networked infrastructure-as-a-service testbeds are evolving with higher capacity and more advanced capabilities. Modern testbeds offer stitched virtual circuit capability, programmable dataplanes with software-defined networking (SDN), and in-network processing on adjacent cloud servers. With these capabilities they are able to host virtual network service providers (NSPs) that peer and exchange traffic with edge subnets and with other NSPs in the testbeds. Testbed tenants may configure and program their NSPs to provide a range of functions and capabilities.
FOCS 2020, the IEEE Symposium on Foundations of Computer Science, is the flagship conference sponsored by the IEEE Computer Society Technical Committee on the Mathematical Foundations of Computing (TCMF) and covers a broad range of theoretical computer science as you can see in the Program and in the Accepted Papers. FOCS is held annually and is hosted virtually in 2020 by Duke!