Sunlight

Lécuyer, Mathias; Spahn, Riley; Spiliopolous, Yannis; Chaintreau, Augustin; Geambasu, Roxana; Hsu, Daniel

doi:10.1145/2810103.2813614

Cited by 30 publications

(5 citation statements)

References 18 publications

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“…The effectiveness of these tools has been occasionally assessed through manual inspection [84], [85]. However, this approach has been recently shown to be extremely prone to errors [86]. In this section, we evaluate the error probability of the interestbased ad detector bearing in mind the impossibility of checking a detector's decisions with the true condition of the tested ads (i.e., whether they are actually interest-based or not).…”

Section: B Resultsmentioning

confidence: 99%

“…We proceed by following a mathematically grounded methodology that capitalizes on the fields of statistical estimation and robust optimization. Besides, compared to these works, our analysis of behavioral targeting does not only determine [84], [86], [85] research platform…”

Section: B Advertising Transparencymentioning

confidence: 99%

“…A couple of refinements of this latter approach are [86], [85], which respectively provide certain statistical validation of its findings and which investigate causation in textbased ads. The cited works, however, are measurement platforms and suffer from the same limitations in terms of detecting behavioral targeting in a broad sense.…”

Section: B Advertising Transparencymentioning

confidence: 99%

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MyAdChoices

2017

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The intrusiveness and the increasing invasiveness of online advertising have, in the last few years, raised serious concerns regarding user privacy and Web usability. As a reaction to these concerns, we have witnessed the emergence of a myriad of ad-blocking and antitracking tools, whose aim is to return control to users over advertising. The problem with these technologies, however, is that they are extremely limited and radical in their approach: users can only choose either to block or allow all ads. With around 200 million people regularly using these tools, the economic model of the Web—in which users get content free in return for allowing advertisers to show them ads—is at serious peril. In this article, we propose a smart Web technology that aims at bringing transparency to online advertising, so that users can make an informed and equitable decision regarding ad blocking. The proposed technology is implemented as a Web-browser extension and enables users to exert fine-grained control over advertising, thus providing them with certain guarantees in terms of privacy and browsing experience, while preserving the Internet economic model. Experimental results in a real environment demonstrate the suitability and feasibility of our approach, and provide preliminary findings on behavioral targeting from real user browsing profiles.

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Section: B Resultsmentioning

confidence: 99%

Section: B Advertising Transparencymentioning

confidence: 99%

Section: B Advertising Transparencymentioning

confidence: 99%

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MyAdChoices

2017

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“…Lécuyer et al develop XRay, a system for inferring which pieces of user data are used for personalization [27]. Another system by some of the same authors is Sunlight which improves upon their previous methodology to provide statistical confidence of their targeting inferences [28].…”

Section: Background and Related Workmentioning

confidence: 99%

To Save Society from Digital Tech, Enable Scrutiny of Policy Implementation

Sivan-Sevilla

2024

Amer. Scientist

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We present the largest and most detailed measurement of online tracking conducted to date, based on a crawl of the top 1 million websites. We make 15 types of measurements on each site, including stateful (cookie-based) and stateless (fingerprinting-based) tracking, the effect of browser privacy tools, and the exchange of tracking data between different sites ("cookie syncing"). Our findings include multiple sophisticated fingerprinting techniques never before measured in the wild.This measurement is made possible by our open-source web privacy measurement tool, OpenWPM 1 , which uses an automated version of a full-fledged consumer browser. It supports parallelism for speed and scale, automatic recovery from failures of the underlying browser, and comprehensive browser instrumentation. We demonstrate our platform's strength in enabling researchers to rapidly detect, quantify, and characterize emerging online tracking behaviors. 17 https://w3c.github.io/webrtc-pc/#widl-RTCPeerConnection-createOffer-Promise-RTCSessionDescription--RTCOfferOptions-options 18 https://tools.ietf.org/html/rfc3264

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“…Third-party efforts to infer ad targeting. To address this need, several early studies developed methodologies to infer whether an ad is contextual, re-targeted, or behavioral [43], [51]- [54] and see how the activities of a user influence the ads s/he receives [55]- [57]. Our scope is complementary and proposes to infer the actual targeting parameters used by the advertiser.…”

Section: Limits Of Transparency Mechanisms Provided By Platformsmentioning

confidence: 99%

Collaborative Ad Transparency: Promises and Limitations

Gkiouzepi

Andreou

Goga

et al. 2023

2023 IEEE Symposium on Security and Privacy (SP)

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Sunlight

Cited by 30 publications

References 18 publications

MyAdChoices

MyAdChoices

To Save Society from Digital Tech, Enable Scrutiny of Policy Implementation

Collaborative Ad Transparency: Promises and Limitations

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