Results 91 to 100 of about 212,227 (315)

Local Differential Privacy Location Protection for Mobile Terminals Based on Huffman Coding [PDF]

Jisuanji kexue yu tansuo
The location information of mobile terminals is closely linked to personal privacy, which may threaten users’ life and property safety if leaked. Local differential privacy model provides strict privacy protection effect, allows users to handle and ...
YAN Yan, LYU Yaqin, LI Feifei
doaj   +1 more source

Methods for working with problem residents in medical physics residency education

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Medical physics residency training programs may occasionally encounter residents requiring additional intervention beyond normal training efforts. In the literature, these residents are referred to as “problem” residents. While the physician literature on the subject is valuable, this paper specifically focuses on dealing with a problem ...
Christopher J. Watchman, Dandan Zheng
wiley   +1 more source

Professionalism skills education in medical physics residency: Current state and perceived importance

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The purpose of this study was to collect data on current practices for teaching and assessing professionalism in CAMPEP‐accredited residency programs. Methods A survey of 21 questions was sent to 160 program directors (PDs) of CAMPEP‐accredited residency programs.
Anna Rodrigues, Leah Schubert, Laura Padilla, Kristi Hendrickson, Hania Al‐Hallaq, Irina Vergalasova   +5 more
wiley   +1 more source

An investigation into the feasibility and efficacy of stereotactic radiosurgery for 1–3 cm single brain lesions on the ring‐mounted Halcyon LINAC

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose An evaluation of the accuracy, safety, and efficiency of the Halcyon ring delivery system (RDS) for stereotactic radiosurgery (SRS) treatment to relatively small (1–3 cm) brain lesions. Methods After completing the extensive in‐house quality assurance checks including Winston–Lutz test and independent dose verification via MD Anderson ...
Kate Hazelwood, Shane McCarthy, Josh Misa, David Castelvetere, William St. Clair, Damodar Pokhrel   +5 more
wiley   +1 more source

Smoothed Differential Privacy

, 2021
Differential privacy (DP) is a widely-accepted and widely-applied notion of privacy based on worst-case analysis. Often, DP classifies most mechanisms without external noise as non-private [Dwork et al., 2014], and external noises, such as Gaussian noise or Laplacian noise [Dwork et al., 2006], are introduced to improve privacy.
Liu, Ao, Wang, Yu-Xiang, Xia, Lirong
openaire   +2 more sources

Privacy Auditing in Differential Private Machine Learning: The Current Trends

Applied Sciences
Differential privacy has recently gained prominence, especially in the context of private machine learning. While the definition of differential privacy makes it possible to provably limit the amount of information leaked by an algorithm, practical ...
Ivars Namatevs, Kaspars Sudars, Arturs Nikulins, Kaspars Ozols   +3 more
doaj   +1 more source

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang, Xiaoyang Li, Yidong Yang   +2 more
wiley   +1 more source

Differential privacy protection technology and its application in big data environment

Tongxin xuebao, 2019
The privacy protection in big data is a research hotspot in the field of cyberspace security.As a strict and provable definition of privacy protection,studying application status of differential privacy protection in big data environment can provide ...
Yu FU, Yihan YU, Xiaoping WU
doaj   +2 more sources

Temporally Discounted Differential Privacy for Evolving Datasets on an Infinite Horizon [PDF]

2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems (ICCPS), 2019
We define discounted differential privacy, as an alternative to (conventional) differential privacy, to investigate privacy of evolving datasets, containing time series over an unbounded horizon. We use privacy loss as a measure of the amount of information leaked by the reports at a certain fixed time.
arxiv  

Randomized Privacy Budget Differential Privacy

, 2022
arXiv admin note: text overlap with arXiv:2009 ...
openaire   +2 more sources