Privacy-preservation in the context of natural language processing
Data privacy is one of the highly discussed issues in recent years as we encounter data
breaches and privacy scandals often. This raises a lot of concerns about the ways the data is …
breaches and privacy scandals often. This raises a lot of concerns about the ways the data is …
De-identification of clinical free text using natural language processing: A systematic review of current approaches
Abstract Background Electronic health records (EHRs) are a valuable resource for data-
driven medical research. However, the presence of protected health information (PHI) …
driven medical research. However, the presence of protected health information (PHI) …
Privacy and artificial intelligence
J Curzon, TA Kosa, R Akalu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Artificial intelligence is a rapidly developing field of research with many practical
applications. Congruent to advances in technologies that enable big data, deep learning …
applications. Congruent to advances in technologies that enable big data, deep learning …
[HTML][HTML] Privacy risk assessment and privacy-preserving data monitoring
Privacy regulations press organisations to handle personal data with reinforced caution.
Moreover, organisations are dealing with increasing amounts of Personally Identifiable …
Moreover, organisations are dealing with increasing amounts of Personally Identifiable …
CPU and GPU accelerated fully homomorphic encryption
T Morshed, MM Al Aziz… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Fully Homomorphic Encryption (FHE) is one of the most promising technologies for privacy
protection as it allows an arbitrary number of function computations over encrypted data …
protection as it allows an arbitrary number of function computations over encrypted data …
Privacy-preserving deep learning NLP models for cancer registries
Population cancer registries can benefit from Deep Learning (DL) to automatically extract
cancer characteristics from the high volume of unstructured pathology text reports they …
cancer characteristics from the high volume of unstructured pathology text reports they …
Information security implications of using NLP in IT outsourcing: A Diffusion of Innovation theory perspective
Abstract Information technology outsourcing (ITO) is a USD multi-trillion industry. There is
growing competition among ITO service providers to improve their service deliveries. Natural …
growing competition among ITO service providers to improve their service deliveries. Natural …
Fast random number generator based on optical physical unclonable functions
We propose an approach for fast random number generation based on homemade optical
physical unclonable functions (PUFs). The optical PUF is illuminated with input laser …
physical unclonable functions (PUFs). The optical PUF is illuminated with input laser …
Entity-aware capsule network for multi-class classification of big data: A deep learning approach
Named entity recognition (NER) is one of the most challenging natural language processing
(NLP) tasks, as its performance is related to constantly evolving languages and dependency …
(NLP) tasks, as its performance is related to constantly evolving languages and dependency …
High-performance hardware primitives based on sub-10 nm nanodiodes for cryptography applications
K Chen, N Li, Y Luo, Y Yao - Journal of Materials Chemistry C, 2024 - pubs.rsc.org
In the post-silicon era, true random number generators (TRNGs) based on various
memristors or nanomaterials are garnering significant interest across diverse disciplines …
memristors or nanomaterials are garnering significant interest across diverse disciplines …