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08/16/2023
Benchmarking Adversarial Robustness of Compressed Deep Learning Models
The increasing size of Deep Neural Networks (DNNs) poses a pressing need...
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08/07/2023
PURL: Safe and Effective Sanitization of Link Decoration
While privacy-focused browsers have taken steps to block third-party coo...
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06/30/2023
Centauri: Practical Rowhammer Fingerprinting
Fingerprinters leverage the heterogeneity in hardware and software confi...
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02/02/2023
Blocking JavaScript without Breaking the Web: An Empirical Investigation
Modern websites heavily rely on JavaScript (JS) to implement legitimate ...
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10/14/2022
No Video Left Behind: A Utility-Preserving Obfuscation Approach for YouTube Recommendations
Online content platforms optimize engagement by providing personalized r...
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10/13/2022
The Inventory is Dark and Full of Misinformation: Understanding the Abuse of Ad Inventory Pooling in the Ad-Tech Supply Chain
Ad-tech enables publishers to programmatically sell their ad inventory t...
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08/25/2022
COOKIEGRAPH: Measuring and Countering First-Party Tracking Cookies
Recent privacy protections by browser vendors aim to limit the abuse of ...
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06/27/2022
Nowhere to Hide: Detecting Obfuscated Fingerprinting Scripts
As the web moves away from stateful tracking, browser fingerprinting is ...
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04/22/2022
Your Echos are Heard: Tracking, Profiling, and Ad Targeting in the Amazon Smart Speaker Ecosystem
Smart speakers collect voice input that can be used to infer sensitive i...
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03/22/2022
A Girl Has A Name, And It's ... Adversarial Authorship Attribution for Deobfuscation
Recent advances in natural language processing have enabled powerful pri...
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03/21/2022
On The Robustness of Offensive Language Classifiers
Social media platforms are deploying machine learning based offensive la...
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03/20/2022
YouTube, The Great Radicalizer? Auditing and Mitigating Ideological Biases in YouTube Recommendations
Recommendations algorithms of social media platforms are often criticize...
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02/25/2022
AutoFR: Automated Filter Rule Generation for Adblocking
Adblocking relies on filter lists, which are manually curated and mainta...
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12/03/2021
FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting
Browser fingerprinting is a stateless tracking technique that attempts t...
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11/09/2021
HARPO: Learning to Subvert Online Behavioral Advertising
Online behavioral advertising, and the associated tracking paraphernalia...
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09/15/2021
Avengers Ensemble! Improving Transferability of Authorship Obfuscation
Stylometric approaches have been shown to be quite effective for real-wo...
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08/28/2021
TrackerSift: Untangling Mixed Tracking and Functional Web Resources
Trackers have recently started to mix tracking and functional resources ...
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07/23/2021
WebGraph: Capturing Advertising and Tracking Information Flows for Robust Blocking
Millions of web users directly depend on ad and tracker blocking tools t...
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06/03/2021
Fingerprinting Fine-tuned Language Models in the Wild
There are concerns that the ability of language models (LMs) to generate...
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05/12/2021
Accuracy-Privacy Trade-off in Deep Ensembles
Deep ensemble learning has been shown to improve accuracy by training mu...
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10/04/2020
Understanding Incentivized Mobile App Installs on Google Play Store
"Incentivized" advertising platforms allow mobile app developers to acqu...
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08/11/2020
Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors
Browser fingerprinting is an invasive and opaque stateless tracking tech...
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06/29/2020
CanaryTrap: Detecting Data Misuse by Third-Party Apps on Online Social Networks
Online social networks support a vibrant ecosystem of third-party apps t...
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05/02/2020
A Girl Has A Name: Detecting Authorship Obfuscation
Authorship attribution aims to identify the author of a text based on th...
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01/29/2020
A4 : Evading Learning-based Adblockers
Efforts by online ad publishers to circumvent traditional ad blockers to...
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01/22/2020
Characterizing Smart Home IoT Traffic in the Wild
As the smart home IoT ecosystem flourishes, it is imperative to gain a b...
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11/08/2019
The TV is Smart and Full of Trackers: Towards Understanding the Smart TV Advertising and Tracking Ecosystem
Motivated by the growing popularity of smart TVs, we present a large-sca...
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07/16/2019
Inferring Tracker-Advertiser Relationships in the Online Advertising Ecosystem using Header Bidding
Online advertising relies on trackers and data brokers to show targeted ...
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05/22/2018
