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User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track Users
During the past few years, mostly as a result of the GDPR and the CCPA, ...
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Under the Spotlight: Web Tracking in Indian Partisan News Websites
India is experiencing intense political partisanship and sectarian divis...
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FLaaS: Federated Learning as a Service
Federated Learning (FL) is emerging as a promising technology to build m...
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Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning
Data holders are increasingly seeking to protect their user's privacy, w...
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S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams
The explosive increase in volume, velocity, variety, and veracity of dat...
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I call BS: Fraud Detection in Crowdfunding Campaigns
Donations to charity-based crowdfunding environments have been on the ri...
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Catching them red-handed: Real-time Aggression Detection on Social Media
The rise of online aggression on social media is evolving into a major p...
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Angry Birds Flock Together: Aggression Propagation on Social Media
Cyberaggression has been found in various contexts and online social pla...
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Stop Tracking Me Bro! Differential Tracking Of User Demographics On Hyper-partisan Websites
Websites with hyper-partisan, left or right-leaning focus offer content ...
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Clash of the Trackers: Measuring the Evolution of the Online Tracking Ecosystem
Websites are constantly adapting the methods used, and intensity with wh...
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Measuring ad value without bankrupting user privacy
Recent work has demonstrated that by monitoring the Real Time Bidding (R...
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No More Chasing Waterfalls: A Measurement Study of the Header Bidding Ad-Ecosystem
In the last few years, Header Bidding (HB) has gained popularity among w...
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Detecting Cyberbullying and Cyberaggression in Social Media
Cyberbullying and cyberaggression are increasingly worrisome phenomena a...
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Beyond content analysis: Detecting targeted ads via distributed counting
Being able to check whether an online advertisement has been targeted is...
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A Self-Attentive Emotion Recognition Network
Modern deep learning approaches have achieved groundbreaking performance...
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Disturbed YouTube for Kids: Characterizing and Detecting Disturbing Content on YouTube
A considerable number of the most-subscribed YouTube channels feature co...
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Cross-Device Tracking: Systematic Method to Detect and Measure CDT
Online advertising, the backbone of the free Web, has transformed the ma...
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LOBO -- Evaluation of Generalization Deficiencies in Twitter Bot Classifiers
Botnets in online social networks are increasingly often affecting the r...
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There goes Wally: Anonymously sharing your location gives you away
With current technology, a number of entities have access to user mobili...
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Cookie Synchronization: Everything You Always Wanted to Know But Were Afraid to Ask
User data is the primary input of digital advertising, the fuel of free ...
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Large-Scale Learning from Data Streams with Apache SAMOA
Apache SAMOA (Scalable Advanced Massive Online Analysis) is an open-sour...
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"You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks
Over the years, the Web has shrunk the world, allowing individuals to sh...
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The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans
A new era of Information Warfare has arrived. Various actors, including ...
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A Unified Deep Learning Architecture for Abuse Detection
Hate speech, offensive language, sexism, racism and other types of abusi...
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Measuring #GamerGate: A Tale of Hate, Sexism, and Bullying
Over the past few years, online aggression and abusive behaviors have oc...
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VHT: Vertical Hoeffding Tree
IoT Big Data requires new machine learning methods able to scale to larg...
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