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Advancing Privacy in Deep Learning Through Data Transformations

https://doi.org/10.2139/ssrn.4525320
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4615-1793-1_5openalex-snapshot
Fourier Transform Theory
inferredcites →https://doi.org/10.1016/0161-7346(84)90013-0openalex-snapshot
Frequency Domain Processing for Ultrasonic Attenuation Measurement in Liver
inferredcites →https://doi.org/10.1016/j.cmpb.2016.12.006openalex-snapshot
Semi-automated detection of anterior cruciate ligament injury from MRI
inferredcites →https://doi.org/10.1016/j.phycom.2017.02.008openalex-snapshot
Gerchberg–Saxton algorithm based phase correction in optical wireless communication
inferredcites →https://doi.org/10.1038/s42256-020-0186-1openalex-snapshot
Secure, privacy-preserving and federated machine learning in medical imaging
inferredcites →https://doi.org/10.1088/1367-2630/7/1/117openalex-snapshot
Experimental demonstration of holographic three-dimensional light shaping using a Gerchberg–Saxton algorithm
inferredcites →https://doi.org/10.1093/bioinformatics/btp152openalex-snapshot
Visualization of genomic data with the Hilbert curve
inferredcites →https://doi.org/10.1097/jto.0b013e3181ec173dopenalex-snapshot
Receiver Operating Characteristic Curve in Diagnostic Test Assessment
inferredcites →https://doi.org/10.1098/rsta.2018.0083openalex-snapshot
Algorithms that remember: model inversion attacks and data protection law
inferredcites →https://doi.org/10.1109/83.725365openalex-snapshot
Holographic representations of images
inferredcites →https://doi.org/10.1109/acssc.2003.1292216openalex-snapshot
Multiscale structural similarity for image quality assessment
inferredcites →https://doi.org/10.1109/acv.1994.341300openalex-snapshot
Parameterisation of a stochastic model for human face identification
inferredcites →https://doi.org/10.1109/cenim51130.2020.9297970openalex-snapshot
Image Segmentation Metrics in Skin Lesion: Accuracy, Sensitivity, Specificity, Dice Coefficient, Jaccard Index, and Matthews Correlation Coefficient
inferredcites →https://doi.org/10.1109/eurosp.2016.36openalex-snapshot
The Limitations of Deep Learning in Adversarial Settings
inferredcites →https://doi.org/10.1109/icdcs.2015.40openalex-snapshot
Privacy-Preserving Machine Learning Algorithms for Big Data Systems
inferredcites →https://doi.org/10.1109/ichi57859.2023.00123openalex-snapshot
Improving Equity in Deep Learning Medical Applications with the Gerchberg-Saxton Algorithm
inferredcites →https://doi.org/10.1109/msec.2018.2888775openalex-snapshot
Privacy-Preserving Machine Learning: Threats and Solutions
inferredcites →https://doi.org/10.1109/msp.2017.2765202openalex-snapshot
Generative Adversarial Networks: An Overview
inferredcites →https://doi.org/10.1109/sp46214.2022.9833649openalex-snapshot
Membership Inference Attacks From First Principles
inferredcites →https://doi.org/10.1109/tsp.2007.914341openalex-snapshot
Local coherence analysis of non-stationary signals
inferredcites →https://doi.org/10.1145/2810103.2813677openalex-snapshot
Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
inferredcites →https://doi.org/10.1145/2818000.2818027openalex-snapshot
Combining Differential Privacy and Secure Multiparty Computation
inferredcites →https://doi.org/10.1145/321450.321457openalex-snapshot
An Adaptation of the Fast Fourier Transform for Parallel Processing
inferredcites →https://doi.org/10.1145/3433638openalex-snapshot
The limits of differential privacy (and its misuse in data release and machine learning)
inferredcites →https://doi.org/10.1145/3523273openalex-snapshot
Membership Inference Attacks on Machine Learning: A Survey
inferredcites →https://doi.org/10.1145/3624010openalex-snapshot
A Survey of Privacy Attacks in Machine Learning
inferredcites →https://doi.org/10.1200/cci.20.00060openalex-snapshot
Cloud-Based Federated Learning Implementation Across Medical Centers
inferredcites →https://doi.org/10.1364/josaa.36.000d31openalex-snapshot
Iterative phase retrieval for digital holography: tutorial
inferredcites →https://doi.org/10.1364/laop.2014.lm2a.3openalex-snapshot
Holographic “Brain” Memory and Computation
inferredcites →https://doi.org/10.1364/ol.21.000842openalex-snapshot
Gerchberg–Saxton algorithm applied in the fractional Fourier or the Fresnel domain
inferredcites →https://doi.org/10.3390/e22121354openalex-snapshot
Modified Gerchberg–Saxton (G-S) Algorithm and Its Application
inferredcites →https://doi.org/10.48550/arxiv.1511.06434openalex-snapshot
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1702.07464openalex-snapshot
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
inferredcites →https://doi.org/10.48550/arxiv.1802.08232openalex-snapshot
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.2003.10595openalex-snapshot
Systematic Evaluation of Privacy Risks of Machine Learning Models
inferredcites →https://doi.org/10.48550/arxiv.2010.04257openalex-snapshot
Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition

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inferred← citeshttps://doi.org/10.3390/app16146850openalex-snapshot
Empirical Characterization of Re-Identification Risk and Diagnostic Utility Under Gerchberg–Saxton Spectral Transformation in Medical Imaging
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