4 citations · 12 across the 6 of their papers we have counts for
6 papers
Correction to Local Information Privacy and Its Applications to Data Aggregation
Bo Jiang, Ming Li, Ravi Tandon
In our previous works, we defined Local Information Privacy (LIP) as a context-aware privacy notion and presented the corresponding privacy-preserving mechanism. Then we claim that…
Online Context-aware Data Release with Sequence Information Privacy
Bo Jiang, Ming Li, Ravi Tandon
Publishing streaming data in a privacy-preserving manner has been a key research focus for many years. This issue presents considerable challenges, particularly due to the correlat…
Thompson Sampling under Bernoulli Rewards with Local Differential Privacy
Bo Jiang, Tianchi Zhao, Ming Li
This paper investigates the problem of regret minimization for multi-armed bandit (MAB) problems with local differential privacy (LDP) guarantee. Given a fixed privacy budget ,…
Answering Count Queries for Genomic Data with Perfect Privacy
Bo Jiang, Mohamed Seif, Ravi Tandon +1
In this paper, we consider the problem of answering count queries for genomic data subject to perfect privacy constraints. Count queries are often used in applications that collect…
Local Information Privacy and Its Application to Privacy-Preserving Data Aggregation
Bo Jiang, Ming Li, Ravi Tandon
In this paper, we study local information privacy (LIP), and design LIP based mechanisms for statistical aggregation while protecting users' privacy without relying on a trusted th…
Context-aware Data Aggregation with Localized Information Privacy
Bo Jiang, Ming Li, Ravi Tandon
In this paper, localized information privacy (LIP) is proposed, as a new privacy definition, which allows statistical aggregation while protecting users' privacy without relying on…