Abstract: this research explores the vulnerability of convolutional neural networks (CNNs) to adversarial attacks, with a focus on the Fast Gradient Sign Method (FGSM) as a baseline threat model. The ...
👋 Welcome to RefineBench — a comprehensive evaluation library for testing refinement capabilities of language models across multiple settings and domains. To reproduce the full results reported in ...
Abstract: Byzantine-robust federated learning aims to maintain resilient performance in the presence of malicious attacks that can impede the convergence of learning algorithms. Although numerous ...
Stockholm3-MRI population-based screening: Two-year outcomes comparing Stockholm3 and PSA. Predictive capability of combining ExoDx (EPI) and pre-biopsy prostate MRI in detecting clinically ...
This repository is the code implementation of the paper AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Agriculture Mapping. AgriFM is a multi-source temporal remote sensing ...
Cybersecurity researchers have disclosed multiple security vulnerabilities in Anthropic's Claude Code, an artificial intelligence (AI)-powered coding assistant, that could result in remote code ...
Pope Leo XIV has urged priests to not to use artificial intelligence to write their homilies or to seek "likes" on social media platforms like TikTok. In a question-and-answer session with clergy from ...
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