- Common Misconceptions About Differential Privacy - Nov 24, 2021.
This article will clarify some common misconceptions about differential privacy and what it guarantees.
Data Science, Differential Privacy, Machine Learning, Privacy
- Privacy-preserving AI – Why do we need it? - May 29, 2020.
Various data privacy threats can result from the usual process of building and constructing data and AI-based systems. Avoiding these challenges can be supported by utilizing state-of-the-art technologies in the domain of privacy-preserving AI.
AI, Differential Privacy, Privacy
- PySyft and the Emergence of Private Deep Learning - Jun 27, 2019.
PySyft is an open-source framework that enables secured, private computations in deep learning, by combining federated learning and differential privacy in a single programming model integrated into different deep learning frameworks such as PyTorch, Keras or TensorFlow.
Deep Learning, Differential Privacy, Privacy, Python, Security
- The 7 Myths of Data Anonymisation - Mar 12, 2019.
Anonymisation has always been rather seen as a necessary evil instead of a helpful tool. That’s why plenty of myths have arisen around that technology over the years.
Anonymity, Customer Analytics, Differential Privacy, GDPR, Privacy, Statistics
What is it like to be a machine learning engineer in 2018? - Jun 21, 2018.
A personal account as to why 2018 is going to be a fun year for machine learning engineers.
Deep Learning, Differential Privacy, Machine Learning Engineer, Quora
- How to build analytic products in an age of data privacy - May 17, 2018.
Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products.
Analytics, Ben Lorica, Differential Privacy, GDPR, Privacy, Products, Strata
- Privacy Software Analysis Project - Jul 17, 2017.
Experienced Java developer with statistics and/or data privacy background to review and analyze one or more open source projects in the data privacy space and write reports on the functionality of those projects.
Analytics, Anonymity, Differential Privacy, Privacy, Telecommute
- A Simpler Explanation of Differential Privacy - Nov 6, 2015.
Privacy concerns in data mining have been raised from time to time, could differential privacy be a solution? Differential privacy was devised to facilitate secure analysis over sensitive data, learn how it can be used to improve the model fitting process.
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Differential Privacy, Explanation, Nina Zumel
- Differential Privacy: How to make Privacy and Data Mining Compatible - Jan 9, 2015.
Can privacy coexist with machine learning and data mining? Differential privacy allows the learning of general characteristics of populations while guaranteeing the privacy of individual records.
arXiv, Big Data, Cynthia Dwork, Data Mining, Differential Privacy, Zachary Lipton
