With the ability to take control of distributed devices at scale, HalluSquatting has the potential to achieve various ...

The Chinese Communist Party (CCP) views artificial intelligence (AI) as central to strategic competition with the United States and is pursuing every means to strengthen its AI ecosystem. China’s base ...

In 2013, researchers discovered something deeply strange about neural networks. They took an image that a state-of-the-art image classifier correctly identified as a panda. They added a small amount ...

This is the official code repository for the paper "Exploiting the Adversarial Example Vulnerability of Transfer Learning of Source Code"(TIFS 2024). State-of-the-art source code classification models ...

Artificial intelligence (AI) safety has turned into a constant cat-and-mouse game. As developers add guardrails to block harmful requests, attackers continue to try new ways to circumvent them. One of ...

SAE (Sustainable Adversarial Example) is a universal adversarial attack framework targeting Class-Incremental Learning (CIL). This repository provides a comprehensive pipeline for both CIL training ...

Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate subtle changes to a picture that are imperceptible to humans and can be ...

Abstract: Adversarial examples can assess the robustness of machine learning models, which has attracted the attention of many researchers to adversarial example generation methods. Transferability ...

The trouble with the legal profession is that 98% of its members give the rest a bad name. That is a joke, correct? Lawyers who take their ethical duties seriously and care about client interests know ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. Cybercriminal groups are leveraging artificial intelligence to ...