Inefficiencies in digital advertising markets

BR Gordon, K Jerath, Z Katona… - Journal of …, 2021 - journals.sagepub.com
Digital advertising markets are growing and attracting increased scrutiny. This article
explores four market inefficiencies that remain poorly understood: ad effect measurement …

Errors, misunderstandings, and attacks: Analyzing the crowdsourcing process of ad-blocking systems

M Alrizah, S Zhu, X Xing, G Wang - Proceedings of the Internet …, 2019 - dl.acm.org
Ad-blocking systems such as Adblock Plus rely on crowdsourcing to build and maintain filter
lists, which are the basis for determining which ads to block on web pages. In this work, we …

Journey to the center of the cookie ecosystem: Unraveling actors' roles and relationships

I Sanchez-Rola, M Dell'Amico… - … IEEE Symposium on …, 2021 - ieeexplore.ieee.org
Web pages have been steadily increasing in complexity over time, including code snippets
from several distinct origins and organizations. While this may be a known phenomenon, its …

Adversarial: Perceptual ad blocking meets adversarial machine learning

F Tramèr, P Dupré, G Rusak, G Pellegrino… - Proceedings of the 2019 …, 2019 - dl.acm.org
Perceptual ad-blocking is a novel approach that detects online advertisements based on
their visual content. Compared to traditional filter lists, the use of perceptual signals is …

Usability and enforceability of global privacy control

S Zimmeck, O Wang, K Alicki, J Wang… - Proceedings on Privacy …, 2023 - par.nsf.gov
Web tracking by ad networks and other data-driven businesses is often privacy-invasive.
Privacy laws, such as the California Consumer Privacy Act, aim to give people more control …

Nomoads: Effective and efficient cross-app mobile ad-blocking

A Shuba, A Markopoulou, Z Shafiq - Proceedings on Privacy …, 2018 - petsymposium.org
Although advertising is a popular strategy for mobile app monetization, it is often desirable to
block ads in order to improve usability, performance, privacy, and security. In this paper, we …

{ResolverFuzz}: Automated Discovery of {DNS} Resolver Vulnerabilities with {Query-Response} Fuzzing

Q Zhang, X Bai, X Li, H Duan, Q Li, Z Li - 33rd USENIX Security …, 2024 - usenix.org
Domain Name System (DNS) is a critical component of the Internet. DNS resolvers, which
act as the cache between DNS clients and DNS nameservers, are the central piece of the …

Who filters the filters: Understanding the growth, usefulness and efficiency of crowdsourced ad blocking

P Snyder, A Vastel, B Livshits - … of the ACM on Measurement and …, 2020 - dl.acm.org
Ad and tracking blocking extensions are popular tools for improving web performance,
privacy and aesthetics. Content blocking extensions generally rely on filter lists to decide …

[HTML][HTML] {AutoFR}: Automated Filter Rule Generation for Adblocking

H Le, J Hayes, S Elmalaki, M Nasr… - 32nd USENIX Security …, 2023 - usenix.org
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Information Registration Discounts Grant Opportunities Venue, Hotel, and Travel Program …

PatchScope: Memory object centric patch diffing

L Zhao, Y Zhu, J Ming, Y Zhang, H Zhang… - Proceedings of the 2020 …, 2020 - dl.acm.org
Software patching is one of the most significant mechanisms to combat vulnerabilities. To
demystify underlying patch details, the techniques of patch differential analysis (aka patch …