Locally differentially private heavy hitter identification
The notion of Local Differential Privacy (LDP) enables users to answer sensitive questions
while preserving their privacy. The basic LDP frequency oracle protocol enables the …
while preserving their privacy. The basic LDP frequency oracle protocol enables the …
Locally differentially private frequency estimation with consistency
Local Differential Privacy (LDP) protects user privacy from the data collector. LDP protocols
have been increasingly deployed in the industry. A basic building block is frequency oracle …
have been increasingly deployed in the industry. A basic building block is frequency oracle …
Locally differentially private frequent itemset mining
The notion of Local Differential Privacy (LDP) enables users to respond to sensitive
questions while preserving their privacy. The basic LDP frequent oracle (FO) protocol …
questions while preserving their privacy. The basic LDP frequent oracle (FO) protocol …
Heavy hitter estimation over set-valued data with local differential privacy
In local differential privacy (LDP), each user perturbs her data locally before sending the
noisy data to a data collector. The latter then analyzes the data to obtain useful statistics …
noisy data to a data collector. The latter then analyzes the data to obtain useful statistics …
Locally differentially private protocols for frequency estimation
Protocols satisfying Local Differential Privacy (LDP) enable parties to collect aggregate
information about a population while protecting each user's privacy, without relying on a …
information about a population while protecting each user's privacy, without relying on a …
Secure and utility-aware data collection with condensed local differential privacy
Local Differential Privacy (LDP) is popularly used in practice for privacy-preserving data
collection. Although existing LDP protocols offer high utility for large user populations …
collection. Although existing LDP protocols offer high utility for large user populations …
Frequency estimation under local differential privacy [experiments, analysis and benchmarks]
Private collection of statistics from a large distributed population is an important problem,
and has led to large scale deployments from several leading technology companies. The …
and has led to large scale deployments from several leading technology companies. The …
Calibrate: Frequency estimation and heavy hitter identification with local differential privacy via incorporating prior knowledge
Estimating frequencies of certain items among a population is a basic step in data analytics,
which enables more advanced data analytics (eg, heavy hitter identification, frequent pattern …
which enables more advanced data analytics (eg, heavy hitter identification, frequent pattern …
Local differential privacy: a tutorial
B Bebensee - arXiv preprint arXiv:1907.11908, 2019 - arxiv.org
In the past decade analysis of big data has proven to be extremely valuable in many
contexts. Local Differential Privacy (LDP) is a state-of-the-art approach which allows …
contexts. Local Differential Privacy (LDP) is a state-of-the-art approach which allows …
{Utility-Optimized} local differential privacy mechanisms for distribution estimation
T Murakami, Y Kawamoto - 28th USENIX Security Symposium (USENIX …, 2019 - usenix.org
LDP (Local Differential Privacy) has been widely studied to estimate statistics of personal
data (eg, distribution underlying the data) while protecting users' privacy. Although LDP …
data (eg, distribution underlying the data) while protecting users' privacy. Although LDP …