Media Summary: Hannah Keller, Aarhus University, Aarhus, Denmark. I'll be talking about Jannah which is work on a project on ... I'm going to present the top composing

Secure Computation With Differentially Private - Detailed Analysis & Overview

Hannah Keller, Aarhus University, Aarhus, Denmark. I'll be talking about Jannah which is work on a project on ... I'm going to present the top composing Companies are collecting more and more data about us and that can cause harm. With

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Secure Computation with Differentially Private Access Patterns
USENIX Security '20 - Secure Multi-party Computation of Differentially Private Median
Differentially Private Selection from Secure Distributed Computing
NDSS 2020 Secure Sublinear Time Differentially Private Median Computation
USENIX Security '19 - Evaluating Differentially Private Machine Learning in Practice
Rebecca Wright - Jana: Secure Computation with Differential Privacy, and Applications
USENIX Security '21 - Locally Differentially Private Analysis of Graph Statistics
USENIX Security '22 - Efficient Differentially Private Secure Aggregation for Federated Learning...
Differentially Private Functional Encryption
USENIX Security '24 - DPAdapter: Improving Differentially Private Deep Learning through Noise...
11 1 17 ACM CCS   Xi He   Composing Differential Privacy Secure Computation
Differential Privacy - Simply Explained
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Secure Computation with Differentially Private Access Patterns

Secure Computation with Differentially Private Access Patterns

We explore a new

USENIX Security '20 - Secure Multi-party Computation of Differentially Private Median

USENIX Security '20 - Secure Multi-party Computation of Differentially Private Median

Secure

Differentially Private Selection from Secure Distributed Computing

Differentially Private Selection from Secure Distributed Computing

Hannah Keller, Aarhus University, Aarhus, Denmark.

NDSS 2020 Secure Sublinear Time Differentially Private Median Computation

NDSS 2020 Secure Sublinear Time Differentially Private Median Computation

SESSION 8B-2

USENIX Security '19 - Evaluating Differentially Private Machine Learning in Practice

USENIX Security '19 - Evaluating Differentially Private Machine Learning in Practice

Evaluating

Rebecca Wright - Jana: Secure Computation with Differential Privacy, and Applications

Rebecca Wright - Jana: Secure Computation with Differential Privacy, and Applications

I'll be talking about Jannah which is work on a project on

USENIX Security '21 - Locally Differentially Private Analysis of Graph Statistics

USENIX Security '21 - Locally Differentially Private Analysis of Graph Statistics

USENIX

USENIX Security '22 - Efficient Differentially Private Secure Aggregation for Federated Learning...

USENIX Security '22 - Efficient Differentially Private Secure Aggregation for Federated Learning...

USENIX

Differentially Private Functional Encryption

Differentially Private Functional Encryption

... multi-input function encryption or

USENIX Security '24 - DPAdapter: Improving Differentially Private Deep Learning through Noise...

USENIX Security '24 - DPAdapter: Improving Differentially Private Deep Learning through Noise...

DPAdapter: Improving

11 1 17 ACM CCS   Xi He   Composing Differential Privacy Secure Computation

11 1 17 ACM CCS Xi He Composing Differential Privacy Secure Computation

... I'm going to present the top composing

Differential Privacy - Simply Explained

Differential Privacy - Simply Explained

Companies are collecting more and more data about us and that can cause harm. With

Differentially Private Algorithms: Some Primitives and Paradigms - Kunal Talwar

Differentially Private Algorithms: Some Primitives and Paradigms - Kunal Talwar

Differential