6 citations · 11 across the 5 of their papers we have counts for
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cs.CR2021
Sharing in a Trustless World: Privacy-Preserving Data Analytics with Potentially Cheating Participants
Tham Nguyen, Hassan Jameel Asghar, Raghav Bhakar +2
Lack of trust between organisations and privacy concerns about their data are impediments to an otherwise potentially symbiotic joint data analysis. We propose DataRing, a data sha…
cs.LG2021
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models
Benjamin Zi Hao Zhao, Aviral Agrawal, Catisha Coburn +5
With an increase in low-cost machine learning APIs, advanced machine learning models may be trained on private datasets and monetized by providing them as a service. However, priva…