Human beings experience life through a spectrum of modes such as vision, taste, hearing,
smell, and touch. These multiple modes are integrated for information processing in our …

Finding nearest neighbors in high-dimensional spaces is a fundamental operation in many
diverse application domains. Locality Sensitive Hashing (LSH) is one of the most popular …

Many of the existing machine learning algorithms, both supervised and unsupervised,
depend on the quality of the input characteristics to generate a good model. The amount of …

Sensitive personal data are created in many application domains, and there is now an
increasing demand to share, integrate, and link such data within and across organisations in …

The number of mobile devices, such as smartphones and smartwatches, is relentlessly
increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and …

Abstract Distributed Denial of Service (DDoS) flooding attacks are one of the typical attacks
over the Internet. They aim to prevent normal users from accessing specific network …

Embeddings have become a key paradigm to learn graph representations and facilitate
downstream graph analysis tasks. Existing graph embedding techniques either sample a …

In modern cryptography, hash functions are considered as one of the key components for
secure communication. They play a vital role in a wide range of applications such as …

Securing digital evidence is a key factor that contributes to evidence admissibility during
digital forensic investigations, particularly in establishing the chain of custody of digital …

Transformer based on self-attention mechanism has made remarkable achievements in
natural language processing, which inspired the application research of Transformer in …