963 citations
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11 papers · 1 filter
ZKSENSE: A Friction-less Privacy-Preserving Human Attestation Mechanism for Mobile Devices
Iñigo Querejeta-Azurmendi, Panagiotis Papadopoulos, Matteo Varvello +3
Recent studies show that 20.4% of the internet traffic originates from automated agents. To identify and block such ill-intentioned traffic, mechanisms that verify the humanness of…
Input complexity and out-of-distribution detection with likelihood-based generative models
Joan Serrà, David Álvarez, Vicenç Gómez +3
Likelihood-based generative models are a promising resource to detect out-of-distribution (OOD) inputs which could compromise the robustness or reliability of a machine learning sy…
Beyond content analysis: Detecting targeted ads via distributed counting
Costas Iordanou, Nicolas Kourtellis, Juan Miguel Carrascosa +3
Being able to check whether an online advertisement has been targeted is essential for resolving privacy controversies and implementing in practice data protection regulations like…
Clash of the Trackers: Measuring the Evolution of the Online Tracking Ecosystem
Konstantinos Solomos, Panagiotis Ilia, Sotiris Ioannidis +1
Websites are constantly adapting the methods used, and intensity with which they track online visitors. However, the wide-range enforcement of GDPR since one year ago (May 2018) fo…
No More Chasing Waterfalls: A Measurement Study of the Header Bidding Ad-Ecosystem
Michalis Pachilakis, Panagiotis Papadopoulos, Evangelos P. Markatos +1
In recent years, Header Bidding (HB) has gained popularity among web publishers, challenging the status quo in the ad ecosystem. Contrary to the traditional waterfall standard, HB…
YourAdvalue: Measuring Advertising Price Dynamics without Bankrupting User Privacy
Michalis Pachilakis, Panagiotis Papadopoulos, Nikolaos Laoutaris +2
The Real Time Bidding (RTB) protocol is by now more than a decade old. During this time, a handful of measurement papers have looked at bidding strategies, personal information flo…