Results 131 to 140 of about 7,877,596 (288)

HRR: a data cleaning approach preserving local differential privacy

International Journal of Distributed Sensor Networks, 2018
For the sensitive data generated by the sensor, we can use the noise to protect the privacy of these data. However, because of the complicated collection environment of the sensor data, it is easy to obtain some disorderly data, and the data need to be ...
Qilong Han, Qianqian Chen, Liguo Zhang, Kejia Zhang   +3 more
doaj   +1 more source

Sarve: synthetic data and local differential privacy for private frequency estimation. [PDF]

Cybersecur (Singap), 2022
Varma G, Chauhan R, Singh D.
europepmc   +1 more source

Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography

Advanced Functional Materials, EarlyView.
In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep, Andrea Samore, Alistair McEwan, Andrew McBride, Shanmugam Kumar   +4 more
wiley   +1 more source

Local Differential Privacy Is Not Enough: A Sample Reconstruction Attack Against Federated Learning With Local Differential Privacy

IEEE Transactions on Information Forensics and Security
Reconstruction attacks against federated learning (FL) aim to reconstruct users' samples through users' uploaded gradients. Local differential privacy (LDP) is regarded as an effective defense against various attacks, including sample reconstruction in FL, where gradients are clipped and perturbed.
Zhichao You, Xuewen Dong, Shujun Li 0001, Ximeng Liu, Siqi Ma, Yulong Shen 0001   +5 more
openaire   +3 more sources

CONSISTENT SPECTRAL CLUSTERING OF NETWORK BLOCK MODELS UNDER LOCAL DIFFERENTIAL PRIVACY. [PDF]

J Priv Confid, 2022
Hehir J, Slavković A, Niu X.
europepmc   +1 more source

Atomic‐Scale Visualization of Topotactic Resistive Switching in Epitaxial La0.5Sr0.5CoOx Neuromorphic Memristors

Advanced Functional Materials, EarlyView.
Forming‐free epitaxial Pt/La0.5Sr0.5CoOx (LSCO)/La0.5Sr0.5MnO3 (LSMO) memristors exhibit heterogeneous and partially reversible topotactic switching involving brownmillerite (BM)‐, Grenier (GN)‐like‐, and perovskite (PV)‐like configurations. Atomic‐resolution scanning transmission electron microscopy and in situ transmission electron microscopy resolve
Zi‐Qin Hong, Yen‐Jung Chen, Shih‐Chao Chang, Jui‐yuan Chen, Jan‐Chi Yang, Wen‐Wei Wu   +5 more
wiley   +1 more source

Genomic Data Sharing under Dependent Local Differential Privacy. [PDF]

CODASPY, 2022
Yilmaz E, Ji T, Ayday E, Li P.
europepmc   +1 more source

Nitrospinics: Nitride Materials for Spin‐Orbit and Orbital Torques From Memory to Artificial Intelligence

Advanced Functional Materials, EarlyView.
Further advances in applications can be anticipated through the development of unique and functional materials beyond conventional alloys. Nitrogen enables tailor‐made orbital textures in various transition‐metal hosts, paving the way for devices ranging from spintronics memory to artificial intelligence hardware.
Prabhat Kumar, Gaurav Kumar Shukla, Yoshio Miura, Shinji Isogami   +3 more
wiley   +1 more source

SoK: Metric Differential Privacy in Theory and Practice

Metric Differential Privacy (mDP) extends classical differential privacy (DP) by replacing Hamming adjacency with application-aware distance metrics, which offers utility-preserving protection for structured and continuous data including locations ...
Yan Huang, Xinpeng Xie, Yang Cao, Chenyang Yu, Chenxi Qiu   +4 more
core   +1 more source

Local Differential Privacy in the Medical Domain to Protect Sensitive Information: Algorithm Development and Real-World Validation. [PDF]

JMIR Med Inform, 2021
Sung M, Cha D, Park YR.
europepmc   +1 more source