36 citations · 36 across the 4 of their papers we have counts for
4 papers
PrivShape: Extracting Shapes in Time Series under User-Level Local Differential Privacy
Yulian Mao, Qingqing Ye, Haibo Hu +2
Time series have numerous applications in finance, healthcare, IoT, and smart city. In many of these applications, time series typically contain personal data, so privacy infringem…
Interactive Trimming against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach
Yue Fu, Qingqing Ye, Rong Du +1
With the exponential growth of data and its crucial impact on our lives and decision-making, the integrity of data has become a significant concern. Malicious data poisoning attack…
Trajectory Data Collection with Local Differential Privacy
Yuemin Zhang, Qingqing Ye, Rui Chen +2
Trajectory data collection is a common task with many applications in our daily lives. Analyzing trajectory data enables service providers to enhance their services, which ultimate…
Differential Aggregation against General Colluding Attackers
Rong Du, Qingqing Ye, Yue Fu +4
Local Differential Privacy (LDP) is now widely adopted in large-scale systems to collect and analyze sensitive data while preserving users' privacy. However, almost all LDP protoco…