Results 11 to 20 of about 50,649 (160)
Privacy preserving data visualizations
Data visualizations are a valuable tool used during both statistical analysis and the interpretation of results as they graphically reveal useful information about the structure, properties and relationships between variables, which may otherwise be ...
Demetris Avraam +7 more
doaj +1 more source
Privacy-preserving association rule mining via multi-key fully homomorphic encryption
Association rule mining is an efficient method to mine the association relationships between different items from large transaction databases, but is vulnerable to privacy leakage as operates over users’ sensitive data directly.
Peiheng Jia +4 more
doaj +1 more source
ZOCB and ZOTR: Tweakable Blockcipher Modes for Authenticated Encryption with Full Absorption
We define ZOCB and ZOTR for nonce-based authenticated encryption with associated data, and analyze their provable security. These schemes use a tweakable blockcipher (TBC) as the underlying primitive, and fully utilize its input to process a plaintext ...
Zhenzhen Bao +2 more
doaj +1 more source
Privacy-Preserving Bin-Packing With Differential Privacy
With the emerging of e-commerce, package theft is at a high level: It is reported that 1.7 million packages are stolen or lost every day in the U.S. in 2020, which costs $25 million every day for the lost packages and the service.
Tianyu Li +2 more
doaj +1 more source
Boomerang Connectivity Table Revisited. Application to SKINNY and AES
The boomerang attack is a variant of differential cryptanalysis which regards a block cipher E as the composition of two sub-ciphers, i.e., E = E1 o E0, and which constructs distinguishers for E with probability p2q2 by combining differential trails for ...
Ling Song, Xianrui Qin, Lei Hu
doaj +1 more source
The Novel Location Privacy-Preserving CKD for Mobile Crowdsourcing Systems
With the development of mobile devices, mobile crowdsourcing has become the research hotspot in mobile crowd sensing networks (MCSS). How to protect the location privacy of mobile user in location-based services is a key problem in MCSS.
Zhongyang Chi +3 more
doaj +1 more source
On Privacy-Preserving Histograms
We advance the approach initiated by Chawla et al. for sanitizing (census) data so as to preserve the privacy of respondents while simultaneously extracting "useful" statistical information. First, we extend the scope of their techniques to a broad and rich class of distributions, specifically, mixtures of highdimensional balls, spheres, Gaussians, and
Shuchi Chawla 0001 +3 more
openaire +4 more sources
Privacy Preserving Image Registration
v4 Accepted at Medical Image Computing and Computer Assisted Intervention (2022) 130 ...
Riccardo Taiello +4 more
openaire +8 more sources
Privacy-Preserving Monotonicity of Differential Privacy Mechanisms
Differential privacy mechanisms can offer a trade-off between privacy and utility by using privacy metrics and utility metrics. The trade-off of differential privacy shows that one thing increases and another decreases in terms of privacy metrics and ...
Hai Liu +5 more
doaj +1 more source
Ensuring differential privacy of models learned from sensitive user data is an important goal that has been studied extensively in recent years. It is now known that for some basic learning problems, especially those involving high-dimensional data, producing an accurate private model requires much more data than learning without privacy.
Cynthia Dwork, Vitaly Feldman
openaire +3 more sources

