activity
20192026
most citedMatrix Bloom Filter: An Efficient Probabilistic Data Structure for 2-tuple Batch Lookup

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SD2026

Private Speech Classification without Collapse: Stabilized DP Training and Offline Distillation

Yadi Wen, Tianxin Li, Enji Liang +2

We study example-level private supervised speech classification under a practical release constraint: training may access privileged side information, but the released model must b…

cs.CR2025

Dual Utilization of Perturbation for Stream Data Publication under Local Differential Privacy

Rong Du, Qingqing Ye, Yaxin Xiao +3

Stream data from real-time distributed systems such as IoT, tele-health, and crowdsourcing has become an important data source. However, the collection and analysis of user-generat…

cs.CR2025

Multi-class Item Mining under Local Differential Privacy

Yulian Mao, Qingqing Ye, Rong Du +3

Item mining, a fundamental task for collecting statistical data from users, has raised increasing privacy concerns. To address these concerns, local differential privacy (LDP) was…

cs.CR2025

Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services

Rong Du, Qingqing Ye, Yue Fu +1

Local Differential Privacy (LDP) has emerged as a widely adopted privacy-preserving technique in modern data analytics, enabling users to share statistical insights while maintaini…

cs.CR2024

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…

cs.CR2023

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…

cs.DS2019★ 1 cited

Matrix Bloom Filter: An Efficient Probabilistic Data Structure for 2-tuple Batch Lookup

Yue Fu, Rong Du, Haibo Hu +2

With the growing scale of big data, probabilistic structures receive increasing popularity for efficient approximate storage and query processing. For example, Bloom filters (BF) c…