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Publication

Enhancing the Privacy of a Digital Pound

Gabriela Torres Vives, et al. "Enhancing the Privacy of a Digital Pound." Bank of England and MIT Digital Currency Initiative, December 2024

Publication

Insights from an experiment crowdsourcing data from thousands of US Amazon users: The importance of transparency, money, and data use

Alex Berke, Robert Mahari, Sandy Pentland, Kent Larson, and Dana Calacci. 2024. Insights from an experiment crowdsourcing data from thousands of US Amazon users: The importance of transparency, money, and data use. Proc. ACM Hum.-Comput. Interact. 8, CSCW2, Article 466 (November 2024), 48 pages. https://doi.org/10.1145/3687005

Publication

Drone delivery and the value of customer privacy: A discrete choice experiment with U.S. consumers

Alex Berke, Geoffrey Ding, Christopher Chin, Karthik Gopalakrishnan, Kent Larson, Hamsa Balakrishnan, Max Z. Li, Drone delivery and the value of customer privacy: A discrete choice experiment with U.S. consumers, Transportation Research Part C: Emerging Technologies, Volume 157, 2023, 104391, ISSN 0968-090X, https://doi.org/10.1016/j.trc.2023.104391.

Publication

Harnessing digital federation platforms and data cooperatives to empower SMEs and local small communities

Bühler, M. et al., 2023. Harnessing Digital Federation Platforms and Data Cooperatives to Empower SMEs and Local Small Communities, OBSERVER RESEARCH FOUNDATION. India.

Publication

Privacy Limitations Of Interest-based Advertising On The Web: A Post-mortem Empirical Analysis Of Google’s FLoC

Alex Berke and Dan Calacci. 2022. Privacy Limitations of Interest-based Advertising on The Web: A Post-mortem Empirical Analysis of Google’s FLoC. In Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (CCS ’22), November 7–11, 2022, Los Angeles, CA, USA. ACM, New York, NY, USA, 13 pages. https://doi.org/10.1145/3548606.3560626

Publication

Effects of Privacy-Inducing Noise on Welfare and Influence of Referendum Systems

Suat Evren, Praneeth Vepakomma

Publication

DAMS: Meta-estimation of private sketch data structures for differentially private COVID-19 contact tracing

DAMS: Meta-estimation of private sketch data structures for differentially private COVID-19 contact tracing, Praneeth Vepakomma, Subha Nawer Pushpita and Ramesh Raskar, PPML (Privacy Preserving Machine Learning workshop) at NeurIPS

Publication

From Private Location Data to Public Good

Berke, A. (2020). From private location data to public good. (Masters thesis). MIT Media Lab.

Publication

Splintering with distributions: A stochastic decoy scheme for private computation

Vepakomma, P., Balla, J., Raskar, R., "Splintering with distributions: A stochastic decoy scheme for private computation." 6 Jul 2020.

Publication

Urban Mobility Swarms: A Scalable Implementation

Berke A., Nawyn J., Lengeling T.S., Larson K. (2020) Urban Mobility Swarms: A Scalable Implementation. In: Arai K., Kapoor S., Bhatia R. (eds) Intelligent Computing. SAI 2020. Advances in Intelligent Systems and Computing, vol 1229. Springer, Cham

Publication

Contact Tracing Technologies: Methods and trade-offs

Alex Berke and Kent Larson, City Science group, MIT Media Lab (2020). https://hdl.handle.net/1721.1/157499

Publication

Assessing Disease Exposure Risk with Location Data: A Proposal for Cryptographic Preservation of Privacy

Alex Berke, Michiel Bakker, Praneeth Vepakomma, Kent Larson, Alex `Sandy' Pentland. (March 31 2020). "Assessing Disease Exposure Risk with Location Data: A Proposal for Cryptographic Preservation of Privacy." Retrieved from https://arxiv.org/pdf/2003.14412

Publication

The Tradeoff Between the Utility and Risk of Location Data and Implications for Public Good

Calacci, Dan, Alex Berke, Kent Larson, Sandy Pentland. "The tradeoff between the utility and risk of location data and implications for public good." Presented at the Oxford & London School of Economics Connected Life conference. (2019). https://arxiv.org/abs/1905.09350

Publication

Invisible Ink - Blockchain for Data Privacy

Lazarovich Amir

Publication

A Malicious Activity Detection System Utilizing Predictive Modeling in Complex Environments

Almaatouq, Abdullah, et al. "A malicious activity detection system utilizing predictive modeling in complex environments." 2014 IEEE 11th Consumer Communications and Networking Conference (CCNC). IEEE, 2014. APA