Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Abstract: Federated learning enables training across multiple entities while ensuring data security and the effectiveness of knowledge dissemination. Despite its benefits, it remains susceptible to ...
This finalizes our definition of adversarial location: the pitcher’s ability to locate pitches where a particular batter gets ...
The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...
AI coding agents are highly vulnerable to zero-click attacks hidden in simple prompts on websites and repositories, a ...
Today, President Donald Trump uses a phone to access deepfakes; he sometimes reposts them on social media, as do many of his close advisers. As the lines become blurred between real and fake ...
Abstract: Power networks are vital to society, yet service outages and faults can have devastating consequences. This study introduces a novel integration of machine learning and data augmentation ...
The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback