ASTrack: Automatic Detection and Removal of Web Tracking Code with Minimal Functionality Loss-Reference-Cited by-同舟云学术

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ASTrack: Automatic Detection and Removal of Web Tracking Code with Minimal Functionality Loss

Published:2023-05-17 Issue: Volume: Page:
ISSN:
Container-title:IEEE INFOCOM 2023 - IEEE Conference on Computer Communications
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Author:

Castell-Uroz Ismael¹,Fukuda Kensuke²,Barlet-Ros Pere¹

Affiliation:

1. Universitat Politècnica de Catalunya,Barcelona,Spain

2. National Institute of Informatics,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10228851/10228852/10228902.pdf?arnumber=10228902

Reference48 articles.

1. Measuring privacy loss and the impact of privacy protection in web browsing

2. Eluding ML-based Adblockers With Actionable Adversarial Examples

3. Towards Seamless Tracking-Free Web: Improved Detection of Trackers via One-class Learning

4. XHOUND: Quantifying the Fingerprintability of Browser Extensions

5. ADGRAPH: A Graph-Based Approach to Ad and Tracker Blocking;iqbal;IEEE Symposium on Security and Privacy 2020,2019

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A First Look into Utiq: Next-Generation Cookies at the ISP Level;2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW);2024-07-08

2. SINBAD: Saliency-informed detection of breakage caused by ad blocking;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

3. Numerical simulation of Fluid–Structure Interaction problems with viscoelastic fluids using a log-conformation reformulation;Computer Methods in Applied Mechanics and Engineering;2023-05

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