DeepFixCX: Explainable privacy‐preserving image compression for medical image analysis
Explanations of a model's biases or predictions are essential to medical image analysis. Yet,
explainable machine learning approaches for medical image analysis are challenged by …
explainable machine learning approaches for medical image analysis are challenged by …
Toward a Privacy-Preserving Face Recognition System: A Survey of Leakages and Solutions
Recent advancements in face recognition (FR) technology in surveillance systems make it
possible to monitor a person as they move around. FR gathers a lot of information …
possible to monitor a person as they move around. FR gathers a lot of information …
Privacy‐Preserved In‐Cabin Monitoring System for Autonomous Vehicles
Fully autonomous vehicles (FAVs) lack monitoring inside the cabin. Therefore, an in‐cabin
monitoring system (IMS) is required for surveilling people causing irregular or abnormal …
monitoring system (IMS) is required for surveilling people causing irregular or abnormal …
Design de-identification of thermal history for collaborative process-defect modeling of directed energy deposition processes
There is an urgent need for developing collaborative process-defect modeling in metal-
based additive manufacturing (AM). This mainly stems from the high volume of training data …
based additive manufacturing (AM). This mainly stems from the high volume of training data …
[HTML][HTML] Report of the Medical Image De-Identification (MIDI) Task Group-Best Practices and Recommendations
1.4 Support This project has been funded in whole or in part with Federal funds from the
National Cancer Institute, National Institutes of Health, under Contract No …
National Cancer Institute, National Institutes of Health, under Contract No …
Adaptive Thermal History De-Identification for Privacy-Preserving Data Sharing of Directed Energy Deposition Processes
In collaborative additive manufacturing (AM), sharing process data across multiple users can
provide small-to medium-sized manufacturers (SMMs) with enlarged training data for part …
provide small-to medium-sized manufacturers (SMMs) with enlarged training data for part …
Practical Trajectory Anonymization Method Using Latent Space Generalization
The global positioning system (GPS) data are commonly used for location‐based services
such as traffic flow prediction. However, such data contain considerable sensitive …
such as traffic flow prediction. However, such data contain considerable sensitive …
Improving human perception of GAN generated facial image synthesis by filtering the training set considering facial attributes
Data anonymization methods have been investigated as strategies to provide data privacy
and to minimize prejudices against minorities. Recent works on machine learning have …
and to minimize prejudices against minorities. Recent works on machine learning have …
Expressive and compressive gan inversion network
This paper presents a novel encoding framework for the generative adversarial network
(GAN), named compressive GAN inverter (Comp-GI), which can effectively compress …
(GAN), named compressive GAN inverter (Comp-GI), which can effectively compress …
Contextualize differential privacy in image database: a lightweight image differential privacy approach based on principle component analysis inverse
Differential privacy (DP) has been the de-facto standard to preserve privacy-sensitive
information in database. Nevertheless, there lacks a clear and convincing contextualization …
information in database. Nevertheless, there lacks a clear and convincing contextualization …