Machine learning (ML) models have been widely applied to various applications, including
image classification, text generation, audio recognition, and graph data analysis. However …

Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …

With the growing processing power of computing systems and the increasing availability of
massive datasets, machine learning algorithms have led to major breakthroughs in many …

In the past few decades, artificial intelligence (AI) technology has experienced swift
developments, changing everyone's daily life and profoundly altering the course of human …

Federated learning frameworks have been regarded as a promising approach to break the
dilemma between demands on privacy and the promise of learning from large collections of …

Inference attacks against Machine Learning (ML) models allow adversaries to learn
sensitive information about training data, model parameters, etc. While researchers have …

Abstract The rise of Adversarial Machine Learning (AML) attacks is presenting a significant
challenge to Intrusion Detection Systems (IDS) and their ability to detect threats. To address …

Algorithms are becoming ubiquitous. However, companies are increasingly alarmed about
their algorithms causing major financial or reputational damage. A new industry is …

In a model inversion attack, an adversary attempts to reconstruct the training data records of
a target model using only the model's output. In launching a contemporary model inversion …

The explainable human–computer interaction (HCI) is about designing approaches capable
of using cognitive characteristics like humans. One such characteristic is human vision and …