AIMC Topic: Privacy
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Neural networks memorise personal information from one sample.
Scientific reports
Dec 4, 2023
Deep neural networks (DNNs) have achieved high accuracy in diagnosing multiple diseases/conditions at a large scale. However, a number of concerns have been raised about safeguarding data privacy and algorithmic bias of the neural network models. We ...
An easy-to-use artificial intelligence preoperative lymph node metastasis predictor (LN-MASTER) in rectal cancer based on a privacy-preserving computing platform: multicenter retrospective cohort study: erratum.
International journal of surgery (London, England)
Dec 1, 2023
Frame-Level Teacher-Student Learning With Data Privacy for EEG Emotion Recognition.
IEEE transactions on neural networks and learning systems
Nov 30, 2023
Recently, electroencephalogram (EEG) emotion recognition has gradually attracted a lot of attention. This brief designs a novel frame-level teacher-student framework with data privacy (FLTSDP) for EEG emotion recognition. The framework first proposes...
LFighter: Defending against the label-flipping attack in federated learning.
Neural networks : the official journal of the International Neural Network Society
Nov 11, 2023
Federated learning (FL) provides autonomy and privacy by design to participating peers, who cooperatively build a machine learning (ML) model while keeping their private data in their devices. However, that same autonomy opens the door for malicious ...
Lightweight Multi-Class Support Vector Machine-Based Medical Diagnosis System with Privacy Preservation.
Sensors (Basel, Switzerland)
Nov 8, 2023
Machine learning, powered by cloud servers, has found application in medical diagnosis, enhancing the capabilities of smart healthcare services. Research literature demonstrates that the support vector machine (SVM) consistently demonstrates remarkab...
Decentralized Data-Privacy Preserving Deep-Learning Approaches for Enhancing Inter-Database Generalization in Automatic Sleep Staging.
IEEE journal of biomedical and health informatics
Nov 7, 2023
Automatic sleep staging has been an active field of development. Despite multiple efforts, the area remains a focus of research interest. Indeed, while promising results have reported in past literature, uptake of automatic sleep scoring in the clini...
Multi-Level Ethical Considerations of Artificial Intelligence Health Monitoring for People Living with Parkinson's Disease.
AJOB empirical bioethics
Oct 27, 2023
Artificial intelligence (AI) has garnered tremendous attention in health care, and many hope that AI can enhance our health system's ability to care for people with chronic and degenerative conditions, including Parkinson's Disease (PD). This paper r...
Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems.
Neural networks : the official journal of the International Neural Network Society
Oct 7, 2023
Federated Learning (FL) is a privacy-preserving distributed machine learning approach geared towards applications in edge devices. However, the problem of designing custom neural architectures in federated environments is not tackled from the perspec...
ChatGPT in medical research: challenging time ahead.
The Medico-legal journal
Oct 6, 2023
Since its launch, ChatGPT, an artificial intelligence-powered language model tool, has generated significant attention in research writing. The use of ChatGPT in medical research can be a double-edged sword. ChatGPT can expedite the research writing ...
Advocating for neurodata privacy and neurotechnology regulation.
Nature protocols
Sep 11, 2023
The ability to record and alter brain activity by using implantable and nonimplantable neural devices, while poised to have significant scientific and clinical benefits, also raises complex ethical concerns. In this Perspective, we raise awareness of...
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