This research from Carnegie Mellon University, Center for AI Safety and Bosch Center for AI examines the safety of large language models (LLMs) like…
Browsing: Adversarial Attacks
Machine learning algorithms are becoming increasingly prevalent in everyday life, but they are vulnerable to data manipulation attacks. In an article published in Nature…
This article discusses the potential of quantum computing to provide strong resilience against adversarial attacks in machine learning models. It explains how data manipulation…
Recent work has employed quantum-mechanical phenomena to defend against adversarial attacks in machine learning, spurring the development of the field of quantum adversarial machine…
In a surprising turn of events, a human player has triumphed over a top-ranked AI system in the complex board game of Go, demonstrating…