We present DP-Sniper, a practical black-box method that automatically finds violations of
differential privacy. DP-Sniper is based on two key ideas:(i) training a classifier to predict if …

NAND flash memory-based IoT device can potentially still leave behind original personal
data in an invalid area even if the data has been deleted. In this paper, we raise the forensic …

The switch from a Model-Centric to a Data-Centric mindset is putting emphasis on data and
its quality rather than algorithms, bringing forward new challenges. In particular, the …

The wide application of image classification has given rise to many intelligent systems, such
as face recognition systems, which makes our life more convenient. However, the ensuing …

The purpose of anonymizing structured data is to protect the privacy of individuals in the
data while retaining the statistical properties of the data. There is a large body of work that …

Artificial Intelligence (AI) and Machine Learning (ML) are novel data analysis techniques
providing very accurate prediction results. They are widely adopted in a variety of industries …

As a primary form of communication, text is used widely for online communications,
including e-mail conversations, mobile text messaging, chatroom and forum discussions …

This paper takes a look at data re-identification as an economic game where the attacker is
assumed to be rational, ie performs attacks for a gain. In order to evaluate expectancy for …