On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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3 results for “ad-blocking”

AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learningcs.CR

Perceptual ad-blocking is vulnerable to attacks, creating new security risks.

problem Vulnerability of perceptual ad-blocking to attacks and new security risks.

method Analysis and creation of adversarial examples to bypass perceptual ad-blocking.

result Perceptual ad-blocking can be bypassed using adversarial examples, introducing new security risks.

ad-blocking adversarial machine learning perceptual signals arms race DDoS attacks

2018-11-08abs ↗pdf ↗

Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learningcs.CR

Percival uses deep learning to block ads in real-time, minimizing performance impact.

problem Real-time ad blocking in browsers with minimal performance overhead.

method Deep learning for image classification integrated into browser's rendering pipeline.

result Percival achieves 96.76% accuracy in blocking ads, comparable to block lists.

ad blocking deep learning image classification browser performance

2019-05-17abs ↗pdf ↗

Semi-Supervised Method using Gaussian Random Fields for Boilerplate Removal in Web Browsersstat.ML

Semi-supervised model removes noisy content from webpages.

problem Extracting relevant content from webpages with ads and noise.

method Graph representation of webpage, semi-supervised learning with Gaussian Random Fields.

result Preliminary results show successful extraction of relevant content.

web browser boilerplate removal semi-supervised learning Gaussian Random Fields webpage graph

2019-11-08abs ↗pdf ↗