Stanford University is offering an online graduate course Artificial Intelligence: Principles and Techniques to provide students with complete knowledge of curr ...
AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...
Introduction The proliferation of deepfake technology, synthetic media generated using advanced artificial intelligence techniques, has emerged as a ...
Abstract: In this paper, we focus on the adversarial machine learning in financial services. In recent years, an attack pattern of false data injection against AI computing has gradually emerged in ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: This paper examines the vulnerabilities of convolutional neural networks (CNNs) to adversarial attacks and explores a method for their safeguarding. In this study, CNNs were implemented on ...
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