Výsledky vyhledávání - "WEB browsers"

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Least Privilege Access for Persistent Storage Mechanisms in Web Browsers

Autor: Kancherla, Gayatri Priyadarsini, Goel, Dishank, Bichhawat, Abhishek

Web applications often include third-party content and scripts to personalize a user's online experience. These scripts have unrestricted access to a user's private data stored in the browser's persistent storage like cookies, localstorage and Indexe

Externí odkaz: http://arxiv.org/abs/2411.15416

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DistML.js: Installation-free Distributed Deep Learning Framework for Web Browsers

Autor: Hidaka, Masatoshi, Hashimoto, Tomohiro, Nishizawa, Yuto, Harada, Tatsuya

We present "DistML.js", a library designed for training and inference of machine learning models within web browsers. Not only does DistML.js facilitate model training on local devices, but it also supports distributed learning through communication

Externí odkaz: http://arxiv.org/abs/2407.01023

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Anatomizing Deep Learning Inference in Web Browsers

Autor: Wang, Qipeng, Jiang, Shiqi, Chen, Zhenpeng, Cao, Xu, Li, Yuanchun, Li, Aoyu, Ma, Yun, Cao, Ting, Liu, Xuanzhe

Web applications have increasingly adopted Deep Learning (DL) through in-browser inference, wherein DL inference performs directly within Web browsers. The actual performance of in-browser inference and its impacts on the quality of experience (QoE)

Externí odkaz: http://arxiv.org/abs/2402.05981

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Passwords Are Meant to Be Secret: A Practical Secure Password Entry Channel for Web Browsers

Autor: Gautam, Anuj, Yadav, Tarun Kumar, Seamons, Kent, Ruoti, Scott

Password-based authentication faces various security and usability issues. Password managers help alleviate some of these issues by enabling users to manage their passwords effectively. However, malicious client-side scripts and browser extensions ca

Externí odkaz: http://arxiv.org/abs/2402.06159

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Web Image Formats: Assessment of Their Real-World-Usage and Performance across Popular Web Browsers

Autor: Dornauer, Benedikt, Felderer, Michael

In 2023, images on the web make up 41% of transmitted data, significantly impacting the performance of web apps. Fortunately, image formats like WEBP and AVIF could offer advanced compression and faster page loading, but may face performance disparit

Externí odkaz: http://arxiv.org/abs/2310.00788

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