21 citations · 24 across the 9 of their papers we have counts for
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cs.CR2026
Quality Degradation Attack in Synthetic Data
Qinyi Liu, Dong Liu, Sam Urmian +2
Synthetic Data Generation (SDG) can be used to facilitate privacy-preserving data sharing. However, most existing research focuses on privacy attacks where the adversary is the rec…
cs.CR2025★ 21 cited
Advancing privacy in learning analytics using differential privacy
Qinyi Liu, Ronas Shakya, Mohammad Khalil +1
This paper addresses the challenge of balancing learner data privacy with the use of data in learning analytics (LA) by proposing a novel framework by applying Differential Privacy…
cs.CR2024★ 1 cited
Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics
Qinyi Liu, Mohammad Khalil, Ronas Shakya +1
Privacy poses a significant obstacle to the progress of learning analytics (LA), presenting challenges like inadequate anonymization and data misuse that current solutions struggle…