Research
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

Trend · papers per month

count% of corpus
0.3%0.5%0.8%0.1% · Nov 201819922001200920182026
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-blockingadversarial machine learningperceptual signalsarms raceDDoS 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 blockingdeep learningimage classificationbrowserperformance
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 browserboilerplate removalsemi-supervised learningGaussian Random Fieldswebpage graph
2019-11-08abs ↗pdf ↗