Privacy-preserving multi-touch attribution (US11949778B1). Filed 2021, Granted 2024.
Privacy safe anonymized identity matching (US11899823B2). Filed 2021, Granted 2024.
Generating a suggestion inventory (US11714868B1). Filed 2019, Granted 2023.
Privacy approval system (US11537746B2). Filed 2021, Granted 2022.
Private Data Aggregation over Selected Subsets of Users.
Amit Datta, Marc Joye, Nadia Fawaz.
In CANS 2019.
Evaluating Anti-Fingerprinting Privacy Enhancing Technologies.
Amit Datta, Jianan Lu, Michael Tschantz.
In WWW 2019.
Discrimination in Online Advertising: A Multidisciplinary Inquiry.
Amit Datta, Anupam Datta, Jael Makagon, Deirdre Mulligan, Michael Tschantz.
In FAT* 2018.
Cryptanalysis of a Privacy-Preserving Aggregation Protocol.
Amit Datta, Marc Joye.
In IEEE TDSC 14(6), 2017.
Influence in Classification via Cooperative Game Theory.
Amit Datta, Anupam Datta, Ariel D Procaccia, Yair Zick.
In IJCAI 2015.
A methodology for information flow experiments.
Michael Tschantz, Amit Datta, Anupam Datta, Jeannette Wing.
In CSF 2015.
Automated experiments on ad privacy settings: A tale of opacity, choice, and discrimination.
Amit Datta, Michael Tschantz, Anupam Datta.
In PETS 2015.
Asynchronous Computational VSS with Reduced Communication Complexity.
Michael Backes, Amit Datta, Aniket Kate.
In CT-RSA 2013.
An Enhanced Differential Cache Attack on CLEFIA for Large Cache Lines.
Chester Rebeiro, Rishabh Poddar, Amit Datta, Debdeep Mukhopadhyay.
In Indocrypt 2011.
Evaluating the effectiveness of privacy tools using Information Flow Experiments.
IEEE Symposium on Security and Privacy, San Jose (2016).
[Poster PDF]
Information Flow Experiments to detect News Personalization.
IEEE Symposium on Security and Privacy, San Jose (2015).
[Poster PDF]
Opacity, Choice and Discrimination in Personalized Ads.
Data Privacy Day, Carnegie Mellon University (2015).
[Poster PDF]
