One barrier to more widespread adoption of differentially private neural networks is the entailed accuracy loss. To address this issue, the relationship between neural network architectures and model accuracy under differential privacy constraints needs to be better understood. As a first step,...

Millions of nanostores around the world face the prospect of digitization, which promises to create significant operational benefits. At the same time, however, digitization may be a risky endeavor. Through the application of a survey and experiments in the field with hundreds of shopkeepers, we...

The paper examines how different question presentation techniques influence respondents’ voluntary disclosure of private information. It focuses on the effects of three factors in questionnaire design namely comparative nature (Acquisti et al., 2012) dyadic relationships (Zimmer et al., 2010),...

The Association of Southeast Asian Nations (ASEAN) Model Contractual Clauses (‘ASEAN MCCs’) are contractual terms and conditions that may be voluntarily included by companies in binding legal agreements for the cross-border transfer of personal data. The ASEAN Digital Ministers endorsed them...

Data brokers have a significant role in data markets and, more broadly, in surveillance capitalism. Due to increasingly sophisticated techniques, data brokers allow for pervasive datafication. This not only seriously threatens privacy, but also national security and the necessary trust for data...

Tax procedures aim at collecting public finances to cover societal needs but also protect taxpayers. Hereby, a collision between transparency and privacy occurs. The goal of the research was twofold; to identify the relation between transparency and privacy in theory and legislation, and to...