Web privacy measurement has often focused on the implementation specifics of various tracking techniques, developing ways to block them, and producing browser add-ons which demonstrate such blocking. However, while over 20 years of this focus has yielded lots of papers, citations, and media coverage, there has been limited real-world impact. A much more promising approach to effecting systemic change at scale is to shift attention away from how tracking is performed towards evaluating if such tracking is compliant with a growing body of applicable regulations.

In this talk I will offer perspectives on compliance measurement at scale, drawing lessons from my experience in the worlds of academic research, civil liberties advocacy, class litigation, and industry. Common themes will be explored and large-scale compliance measurement technologies will be presented in-depth. Likewise, insights on how computer scientists may effectively work across and between disciplinary boundaries will be presented. Ultimately, the most effective means to achieve change at scale is not to build another add-on, it is to build coalitions of experts working together to ensure technology, business, and regulation exist in harmony.

View More Papers

CableAuth: A Biometric Second Factor Authentication Scheme for Electric...

Jack Sturgess, Sebastian Köhler, Simon Birnbach, Ivan Martinovic (University of Oxford)

Read More

From Matrix to Metrics: Introducing and Applying a Configuration...

Tobias Länge (SECUSO, Karlsruhe Institute of Technology, Karlsruhe, Germany), Fabian Lucas Ballreich (SECUSO, Karlsruhe Institute of Technology, Karlsruhe, Germany), Anne Hennig (SECUSO, Karlsruhe Institute of Technology, Karlsruhe, Germany), Peter Mayer (SECUSO, Karlsruhe Institute of Technology, Karlsruhe, Germany), Melanie Volkamer (SECUSO, Karlsruhe Institute of Technology, Karlsruhe, Germany)

Read More

Work-in-Progress: Uncovering Dark Patterns: A Longitudinal Study of Cookie...

Zihan Qu (Johns Hopkins University), Xinyi Qu (University College London), Xin Shen, Zhen Liang, and Jianjia Yu (Johns Hopkins University)

Read More