And, in a few weeks, when Brave 1.0 arrives on personal computers, Brave will give those users 70 percent of the ad revenue. On Tuesday, it'll start offering anyone using the developer version of Brave the option of seeing privacy-respecting ads. PERCIVAL proves that image-based perceptual ad blocking is an attractive complement to today’s dominant approach of block lists.Brave began its existence three years ago by blocking all ads by default. Additionally, PERCIVAL does surprisingly well on ads in languages other than English and also performs well on blocking first-party Facebook ads, which have presented issues for rule-based ad blockers. We show that our image-based ad blocker can replicate EasyList rules with an accuracy of 96.76%. deep neural networks) inside the critical path of the rendering engine of a browser. Our implementation inside both Chromium and Brave browsers shows only a minor rendering performance overhead of 4.55%, for Chromium, and 19.07%, for Brave browser, demonstrating the feasibility of deploying traditionally heavy models (i.e. PERCIVAL embeds itself within the browser’s image rendering pipeline, which makes it possible to intercept every image obtained during page execution and to perform image classification based blocking to flag potential ads. In this paper we present PERCIVAL, a browser-embedded, lightweight, deep learning-powered ad blocker.
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