Meaningful measures of human society in the twenty-first century
Science rarely proceeds beyond what scientists can observe and measure, and sometimes
what can be observed proceeds far ahead of scientific understanding. The twenty-first …
what can be observed proceeds far ahead of scientific understanding. The twenty-first …
Challenges of blockchain in new generation energy systems and future outlooks
Recently, the blockchain technology has attracted widespread attention due to its
advantageous features, eg, decentralization, transparency, traceability, and immutability. To …
advantageous features, eg, decentralization, transparency, traceability, and immutability. To …
Synthetic Data--what, why and how?
This explainer document aims to provide an overview of the current state of the rapidly
expanding work on synthetic data technologies, with a particular focus on privacy. The …
expanding work on synthetic data technologies, with a particular focus on privacy. The …
Privacy-preserving generative deep neural networks support clinical data sharing
BK Beaulieu-Jones, ZS Wu, C Williams… - … Quality and Outcomes, 2019 - Am Heart Assoc
Background: Data sharing accelerates scientific progress but sharing individual-level data
while preserving patient privacy presents a barrier. Methods and Results: Using pairs of …
while preserving patient privacy presents a barrier. Methods and Results: Using pairs of …
Perspective of artificial intelligence in healthcare data management: A journey towards precision medicine
Mounting evidence has highlighted the implementation of big data handling and
management in the healthcare industry to improve the clinical services. Various private and …
management in the healthcare industry to improve the clinical services. Various private and …
Privacy loss in apple's implementation of differential privacy on macos 10.12
In June 2016, Apple announced that it will deploy differential privacy for some user data
collection in order to ensure privacy of user data, even from Apple. The details of Apple's …
collection in order to ensure privacy of user data, even from Apple. The details of Apple's …
Auditing for discrimination in algorithms delivering job ads
Ad platforms such as Facebook, Google and LinkedIn promise value for advertisers through
their targeted advertising. However, multiple studies have shown that ad delivery on such …
their targeted advertising. However, multiple studies have shown that ad delivery on such …
[HTML][HTML] Privacy-preserving federated learning for residential short-term load forecasting
With high levels of intermittent power generation and dynamic demand patterns, accurate
forecasts for residential loads have become essential. Smart meters can play an important …
forecasts for residential loads have become essential. Smart meters can play an important …
Algorithms that remember: model inversion attacks and data protection law
Many individuals are concerned about the governance of machine learning systems and the
prevention of algorithmic harms. The EU's recent General Data Protection Regulation …
prevention of algorithmic harms. The EU's recent General Data Protection Regulation …
" I need a better description": An Investigation Into User Expectations For Differential Privacy
Despite recent widespread deployment of differential privacy, relatively little is known about
what users think of differential privacy. In this work, we seek to explore users' privacy …
what users think of differential privacy. In this work, we seek to explore users' privacy …