Concept

Ad blocking

Related publications (26)

CookieGraph: Understanding and Detecting First-Party Tracking Cookies

Carmela González Troncoso, Sandra Deepthy Siby

As third-party cookie blocking is becoming the norm in mainstream web browsers, advertisers and trackers have started to use first-party cookies for tracking. To understand this phenomenon, we conduct a differential measurement study with versus without th ...

New York2023

Global, Passive Detection of Connection Tampering

Louis-Henri Manuel Jakob Merino

In-network devices around the world monitor and tamper with connections for many reasons, including intrusion prevention, combating spam or phishing, and country-level censorship. Connection tampering seeks to block access to specific domain names or keywo ...

New York2023

WEBGRAPH: Capturing Advertising and Tracking Information Flows for Robust Blocking

Carmela González Troncoso, Sandra Deepthy Siby

Users rely on ad and tracker blocking tools to protect their privacy. Unfortunately, existing ad and tracker blocking tools are susceptible to mutable advertising and tracking content. In this paper, we first demonstrate that a state-of-the-art ad and trac ...

USENIX ASSOC2022

Rethinking data browsing through embodied knowledge

In the age of digital and big data, the interaction with machines is central and emphasizes the sophistication of user interfaces and browsing tools. However, in the domain of digital artwork collections, most platforms propose access to images through key ...

2021

Patchy Amphiphilic Dendrimers Bind Adenovirus and Control Its Host Interactions and in Vivo Distribution

Francesco Stellacci, Weina Liu

The surface of proteins is heterogeneous with sophisticated but precise hydrophobic and hydrophilic patches, which is essential for their diverse biological functions. To emulate such distinct surface patterns on macromolecules, we used rigid spherical syn ...

2019

Hardware-conscious Query Processing in GPU-accelerated Analytical Engines

Anastasia Ailamaki, Periklis Chrysogelos, Panagiotis Sioulas

In order to improve their power efficiency and computational capacity, modern servers are adopting hardware accelerators, especially GPUs. Modern analytical DMBS engines have been highly optimized for multi-core multi-CPU query execution, but lack the nece ...

2019

Intrafascicular electrode implant

Silvestro Micera, Stanisa Raspopovic, Francesco Maria Petrini

An implantable device for intrafascicular stimulation and/or sensing of a peripheral nerve, including a blocking element adapted for wrapping a nerve, comprising an access point and an exit point, and an electrode adapted to traverse the blocking element v ...

2018

MyAdChoices: Bringing Transparency and Control to Online Advertising

Jagdish Prasad Achara

The intrusiveness and the increasing invasiveness of online advertising have, in the last few years, raised serious concerns regarding user privacy andWeb usability. As a reaction to these concerns, we have witnessed the emergence of a myriad of ad-blockin ...

Assoc Computing Machinery2017

Active Online Anomaly Detection using Dirichlet Process Mixture Model and Gaussian Process Classification

Jean-Marc Odobez, Pierre Moulin, Jagannadan Varadarajan

We present a novel anomaly detection (AD) system for streaming videos. Different from prior methods that rely on unsupervised learning of clip representations, that are usually coarse in nature, and batch-mode learning, we propose the combination of two no ...

2017

The impact of privacy protection filters on gender recognition

Touradj Ebrahimi

Deep learning-based algorithms have become increasingly efficient in recognition and detection tasks, especially when they are trained on large-scale datasets. Such recent success has led to a speculation that deep learning methods are comparable to or eve ...

2015

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