AIMC Topic: Privacy
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In-Home Older Adults' Activity Pattern Monitoring Using Depth Sensors: A Review.
Sensors (Basel, Switzerland)
Nov 23, 2022
The global population is aging due to many factors, including longer life expectancy through better healthcare, changing diet, physical activity, etc. We are also witnessing various frequent epidemics as well as pandemics. The existing healthcare sys...
DINI: data imputation using neural inversion for edge applications.
Scientific reports
Nov 23, 2022
The edge computing paradigm has recently drawn significant attention from industry and academia. Due to the advantages in quality-of-service metrics, namely, latency, bandwidth, energy efficiency, privacy, and security, deploying artificial intellige...
Customized Federated Learning for Multi-Source Decentralized Medical Image Classification.
IEEE journal of biomedical and health informatics
Nov 10, 2022
The performance of deep networks for medical image analysis is often constrained by limited medical data, which is privacy-sensitive. Federated learning (FL) alleviates the constraint by allowing different institutions to collaboratively train a fede...
PrivacyMask: Real-world privacy protection in face ID systems.
Mathematical biosciences and engineering : MBE
Nov 7, 2022
Recent works have illustrated that many facial privacy protection methods are effective in specific face recognition algorithms. However, the COVID-19 pandemic has promoted the rapid innovation of face recognition algorithms for face occlusion, espec...
Privacy Preserving Defense For Black Box Classifiers Against On-Line Adversarial Attacks.
IEEE transactions on pattern analysis and machine intelligence
Nov 7, 2022
Deep learning models have been shown to be vulnerable to adversarial attacks. Adversarial attacks are imperceptible perturbations added to an image such that the deep learning model misclassifies the image with a high confidence. Existing adversarial...
Ambient Assisted Living: Scoping Review of Artificial Intelligence Models, Domains, Technology, and Concerns.
Journal of medical Internet research
Nov 4, 2022
BACKGROUND: Ambient assisted living (AAL) is a common name for various artificial intelligence (AI)-infused applications and platforms that support their users in need in multiple activities, from health to daily living. These systems use different a...
MixNN: A Design for Protecting Deep Learning Models.
Sensors (Basel, Switzerland)
Oct 28, 2022
In this paper, we propose a novel design, called MixNN, for protecting deep learning model structure and parameters since the model consists of several layers and each layer contains its own structure and parameters. The layers in a deep learning mod...
Compressed gastric image generation based on soft-label dataset distillation for medical data sharing.
Computer methods and programs in biomedicine
Oct 22, 2022
BACKGROUND AND OBJECTIVE: Sharing of medical data is required to enable the cross-agency flow of healthcare information and construct high-accuracy computer-aided diagnosis systems. However, the large sizes of medical datasets, the massive amount o...
IIB-CPE: Inter and Intra Block Processing-Based Compressible Perceptual Encryption Method for Privacy-Preserving Deep Learning.
Sensors (Basel, Switzerland)
Oct 21, 2022
Perceptual encryption (PE) of images protects visual information while retaining the intrinsic properties necessary to enable computation in the encryption domain. Block-based PE produces JPEG-compliant images with almost the same compression savings...
Deep Learning for Encrypted Traffic Classification and Unknown Data Detection.
Sensors (Basel, Switzerland)
Oct 9, 2022
Despite the widespread use of encryption techniques to provide confidentiality over Internet communications, mobile device users are still susceptible to privacy and security risks. In this paper, a novel Deep Neural Network (DNN) based on a user act...
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