IBM Researchers Propose a New Adversarial Attack Framework Capable of Generating Adversarial Inputs for AI Systems Regardless of the Modality or Task

In the ever-evolving landscape of artificial intelligence, a growing concern has emerged. The vulnerability of AI models to adversarial evasion attacks. These cunning exploits can lead to misleading model outputs with subtle alterations in input data, a threat extending beyond computer vision models. The need for robust defenses against such attacks is evident as AI […]

The post IBM Researchers Propose a New Adversarial Attack Framework Capable of Generating Adversarial Inputs for AI Systems Regardless of the Modality or Task …

ai models ai shorts ai systems applications artificial artificial intelligence attacks data editors pick evasion exploits framework ibm intelligence landscape machine learning researchers staff systems tech news technology threat vulnerability