Discover how to test for multi-user vulnerabilities. Four real-world examples of tenant isolation, consolidated testing, and ...
A young man approached a card table set up under the Green Line tracks on the city’s West Side and asked the woman behind it ...
This repository contains the implementation of topological data analysis (TDA) methods for detecting adversarial examples in deep learning models, particularly focusing on Vision-Language models like ...
Surveys are a primary source of data across the sciences, from medicine to economics. I demonstrate that the assumption that logically coherent responses are from humans is now untenable. I show that ...
Abstract: The utilization of Large Language Models (LLMs) requires dependable operation in the presence of errors in the hardware (caused by for example radiation) as this has become a pressing ...
This study presents a comprehensive review of current methodologies, trends, and challenges in cyberbullying detection within Arabic-language contexts, with a focus on the unique linguistic and ...
Department of Foreign Languages, Qilu Normal University, Jinan, China. Driven by globalization, social media has become a key field for cross-cultural communication. Since 2019, the U.S. government, ...
Abstract: Adversarial detection on neural networks are a major challenge in artificial intelligence. These attacks introduce imperceptible perturbations into the input data, causing models to make ...
What if technology could bridge the gap between spoken language and sign language, empowering millions of people to communicate more seamlessly? With advancements in deep learning, this vision is no ...
Google Ads will remove manual language targeting for Search campaigns and shift fully to AI-driven language detection by the end of this year. Details: Why we care. Advertisers will no longer choose ...
Generation Alpha’s internet lingo is mutating faster than teachers, parents and AI models can keep up – potentially exposing youngsters to bullying and grooming that trusted adults and AI-based safety ...
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