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Class-restricted clustering and microperturbation for data privacy

Li, Xiao-bai; Sarkar, Sumit - In: Management science : journal of the Institute for … 59 (2013) 4, pp. 796-812

Persistent link: https://www.econbiz.de/10009741300

Digression and value concatenation to enable privacy-preserving regression

Li, Xiao-bai; Sarkar, Sumit - In: Management information systems : mis quarterly 38 (2014) 3, pp. 679-698

Persistent link: https://www.econbiz.de/10010405663

No free lunch : price premium for privacy seal-bearing vendors

Mai, Bin; Menon, Nirup M.; Sarkar, Sumit - In: Journal of management information systems : JMIS 27 (2010/11) 2, pp. 189-212

Persistent link: https://www.econbiz.de/10008748248

Protecting privacy against record linkage disclosure : a bounded swapping approach for numeric data

Li, Xiao-bai; Sarkar, Sumit - In: Information systems research : ISR 22 (2011) 4, pp. 774-789

Persistent link: https://www.econbiz.de/10009413401

Privacy and big data : scalable approaches sanitize large transactional datasbases for sharing

Menon, Syam; Sarkar, Sumit - In: Management information systems : mis quarterly 40 (2016) 4, pp. 963-981

Persistent link: https://www.econbiz.de/10011612506

Hiding sensitive information when sharing distributed transactional data

Ghoshal, Abhijeet; Hao, Jing; Menon, Syam; Sarkar, Sumit - In: Information systems research : ISR 31 (2020) 2, pp. 473-490

Persistent link: https://www.econbiz.de/10012295013

Behind Privacy Labels : Data Tracking and Advertising Competition on App Platforms

Gao, Yi; Liu, Dengpan - 2021

Recently, a controversial new privacy policy on the mobile app platform, which requires app developers to display privacy labels and request data-tracking permissions from users, has sparked a heated discussion among practitioners in digital advertising. In this paper, we build a game-theoretic...

Persistent link: https://www.econbiz.de/10013228115