Artificial intelligence is now embedded across financial services value chains — from credit underwriting and fraud detection ...

The study suggests that some of the world’s most advanced language models still struggle to recognize malicious intent when ...

A misconception is currently thriving in the industry that one can become a Generative AI expert without learning ...

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

A mysterious weapon hovering across the battlefields of Ukraine has torn back the curtain on the new era of modern warfare.

In today’s digital landscape, cyber threats are evolving at an unprecedented pace. Traditional security measures struggle to ...

The study, titled “Teach AI What It Doesn’t Know,” published in AI Magazine, presents a detailed research agenda by Sean Du of Nanyang Technological University, focused on building reliable machine ...

Abstract: Adversarial attacks are a type of attack on machine learning models where an attacker deliberately modifies inputs to cause the model to make incorrect predictions. Adversarial attacks can ...

This repository contains the implementation of topological data analysis (TDA) methods for detecting adversarial examples in deep learning models, particularly focusing on Vision-Language models like ...