Suppose you want to train a text summarizer or an image classifier. Without using Gradio, you would need to build the front end, write back-end code, find a hosting platform, and connect all parts, ...

Convolutional neural networks (CNNs) are vulnerable to adversarial attacks in computer vision tasks. Current adversarial detections are ineffective against white-box attacks and inefficient when deep ...

EXCLUSIVE: She was called the “prettiest photographer in the world.” Music Box Films has acquired U.S. distribution rights to Naked Ambition, a documentary about Bunny Yeager who went from posing for ...

Abstract: Model Inversion (MI) attacks based on Generative Adversarial Networks (GAN) aim to recover private training data from complex deep learning models by searching codes in the latent space.

The technology strikes a balance between accuracy and flexibility, overcoming the limitations of previous approaches and providing utilities and manufacturers with new capabilities. - Sunil Subedi, ...

Abstract: Recent advancements in model inversion attacks have raised privacy concerns, exploiting access to models to reconstruct private training data from inputs and outputs. These attacks are ...

Structural equation modeling (SEM) is a widely used statistical method in social science. However, many published articles employing SEM appear to contradict its underlying principles and assumptions, ...

Department of Chemical and Biomolecular Engineering, University of California, Berkeley, California 94720, United States ...