Matthew Rafuse
YOU?
Author Swipe
View article: Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration Open
Differential privacy (DP) allows data analysts to query databases that contain users' sensitive information while providing a quantifiable privacy guarantee to users. Recent interactive DP systems such as APEx provide accuracy guarantees o…
View article: PUPy: A Generalized, Optimistic Context Detection Framework
PUPy: A Generalized, Optimistic Context Detection Framework Open
In modern life, the usage of smart devices like smartphones and laptops that allow for access to information, communication with friends and colleagues and other indispensable services has become ubiquitous. People have gradually taken to …
View article: Investigating Membership Inference Attacks under Data Dependencies
Investigating Membership Inference Attacks under Data Dependencies Open
Training machine learning models on privacy-sensitive data has become a popular practice, driving innovation in ever-expanding fields. This has opened the door to new attacks that can have serious privacy implications. One such attack, the…
View article: Differentially Private Learning Does Not Bound Membership Inference.
Differentially Private Learning Does Not Bound Membership Inference. Open
Training machine learning models on privacy-sensitive data has become a popular practice, driving innovation in ever-expanding fields. This has opened the door to a series of new attacks, such as Membership Inference Attacks (MIAs), that e…