Organizations often collect private data and release aggregate statistics for the public's
benefit. If no steps toward preserving privacy are taken, adversaries may use released …

We identify a new class of vulnerabilities in implementations of differential privacy.
Specifically, they arise when computing basic statistics such as sums, thanks to …

The absence of continuous, real-time mental health assessment has made it challenging to
quantify the impacts of the COVID-19 pandemic on population mental health. We examined …

We utilize functional data analysis techniques to investigate patterns of COVID-19 positivity
and mortality in the US and their associations with Google search trends for COVID-19 …

Advancements in vaccination technologies mitigate disease transmission risks but may
inadvertently suppress the behavioral immune system, an evolved disease avoidance …

Background In the United States, 1 out of every 3 people lives in a mental health
professional shortage area. Shortage areas tend to be rural, have higher levels of poverty …

Protecting the privacy of a user querying an Information Retrieval (IR) system is of utmost
importance. The problem is exacerbated when the IR system is not cooperative in satisfying …

The need for a privacy management layer in today's systems started to manifest with the
emergence of new systems for privacy-preserving analytics and privacy compliance. As a …

This report describes the aggregation and anonymization process applied to the COVID-19
Vaccination Search Insights (published at http://goo. gle/covid19vaccinationinsights), a …

Accurate forecasting of emerging infectious diseases can guide public health officials in
making appropriate decisions related to the allocation of public health resources. Due to the …