3 papers
cs.CR2026
Dependency Triad: A Metric to Quantify the Dependencies Between Attributes for Local Differential Privacy
Sandaru Jayawardana, Sennur Ulukus, Ming Ding +1
Collecting multidimensional user data is essential for extracting rich insights across various applications. Local Differential Privacy (LDP) has emerged as a de facto standard for…
cs.CV2025
FedVideoMAE: Efficient Federated Video Moderation with Differential Privacy and Secure Aggregation
Ziyuan Tao, Chuanzhi Xu, Sandaru Jayawardana +4
Short-form video moderation is increasingly pushed toward edge and privacy-sensitive settings, where users may intend videos for a limited audience, such as friends or private grou…
cs.CR2025
The Hidden Cost of Correlation: Rethinking Privacy Leakage in Local Differential Privacy
Sandaru Jayawardana, Sennur Ulukus, Ming Ding +1
Local differential privacy (LDP) has emerged as a promising paradigm for privacy-preserving data collection in distributed systems, where users contribute multi-dimensional records…