Blockchain networks suffer from a critical scalability problem that is often expressed in two
dimensions: the size of the network state and the computational overhead in processing …

Data science ethics is all about what is right and wrong when conducting data science. Data
science has so far been primarily used for positive outcomes for businesses and society …

Generative AI, exemplified by models like transformers, has opened up new possibilities in
various domains but also raised concerns about fairness, transparency and reliability …

Despite its popularity, the nature of solar energy is highly uncertain and weather dependent,
affecting the business viability and investment of solar energy generation, especially for …

Traditional Insurance, a popular approach of financial risk management, has suffered from
the issues of high operational costs, opaqueness, inefficiency and a lack of trust. Recently …

With the growing interest in privacy-enhancing technologies, we are seeing a
complementary growth in the desire to build and deploy complex cryptographic systems that …

This research brings the concept of zk-SNARKs (Zero-Knowledge Succinct Non-Interactive
Argument of Knowledge) in the context of data security and privacy in the digital world. zk …

This work introduces Cryptobazaar, a novel scalable, private, and decentralized sealed-bid
auction protocol. In particular, our protocol protects the privacy of losing bidders by …

Digital identity is evolving from centralized systems to a decentralized approach known as
Self-Sovereign Identity (SSI). SSI empowers individuals to control their digital identities …

Federated learning for training models over mobile devices is gaining popularity. Current
systems for this task exhibit significant trade-offs between model accuracy, privacy …