Federated Synthetic Data Generation with Stronger Security Guarantees

Synthetic data generation plays a crucial role in many areas where data is scarce and privacy/confidentiality is a significant concern. Generative Adversarial Networks (GANs), arguably one of the most widely used data synthesis techniques, allow for the training of a model (i.e., generator) that can generate real-looking data by playing a min...

Secure Smart Contract-Based Data Aggregation using Homomorphic Encryption

Privacy and security are important topics in data aggregation, as companies are aggregating large amounts of sensitive data from their users. The aim of this paper is to improve the security and privacy of data aggregation using smart contracts, homomorphic encryption and post-quantum encryption methods on Hyperledger Fabric. After a literature...

Secure Logistic Regression for Vertical Federated Learning

Data island effectively blocks the practical application of machine learning. To meet this challenge, a new framework known as federated learning was created. It allows model training on a large amount of scattered data owned by different data providers. This article presents a parallel solution for computing logistic regression based on...

Privacy-preserving cross-device tracking

Online advertisement is a multi-billion dollar industry that constitutes a primary source of income for most publishers offering free content on the Web. Online behavioural advertisement refers to the practice of serving targeted ads to online users based on their potential interests. In order to infer these interests, online advertisers...

Preserving privacy through cryptography in online behavioural advertising

Online advertising is a multi-billion dollar industry, forming one of the primary sources of income for many publishers that offer free web content. Online Behavioural Advertising (OBA), the practice of showing advertisements based on individual users' web browsing behaviours, greatly improves the expected effectiveness of advertisements, and is...

Secure signal processing: Privacy preserving cryptographic protocols for multimedia

Recent advances in technology provided a suitable environment for the people in which they can benefit from online services in their daily lives. Despite several advantages, online services also constitute serious privacy risks for their users as the main input to algorithms are privacy sensitive such as demographic information, shopping...