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Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep
  Learning

Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning

17 May 2019
Z. Din
P. Tigas
Samuel T. King
B. Livshits
    VLM
ArXivPDFHTML

Papers citing "Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning"

5 / 5 papers shown
Title
Beyond the Request: Harnessing HTTP Response Headers for Cross-Browser
  Web Tracker Classification in an Imbalanced Setting
Beyond the Request: Harnessing HTTP Response Headers for Cross-Browser Web Tracker Classification in an Imbalanced Setting
Wolf Rieder
Philip Raschke
Thomas Cory
11
2
0
02 Feb 2024
Collaborative Domain Blocking: Using federated NLP To Detect Malicious
  Domains
Collaborative Domain Blocking: Using federated NLP To Detect Malicious Domains
Mohammad Ismail Daud
22
1
0
08 Oct 2022
Domain Name Encryption Is Not Enough: Privacy Leakage via IP-based
  Website Fingerprinting
Domain Name Encryption Is Not Enough: Privacy Leakage via IP-based Website Fingerprinting
Nguyen Phong Hoang
Arian Akhavan Niaki
Phillipa Gill
M. Polychronakis
25
26
0
16 Feb 2021
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning
K. Makarychev
Pascal Dupré
Yury Makarychev
Giancarlo Pellegrino
Dan Boneh
AAML
26
64
0
08 Nov 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
1