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Selective Feature Anonymization for Privacy-Preserving Image Data Publishing
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11681878_14openalex-snapshot
Calibrating Noise to Sensitivity in Private Data Analysis
inferredcites →https://doi.org/10.1007/11786986openalex-snapshot
Exact algorithms for exact satisfiability and number of perfect matchings
inferredcites →https://doi.org/10.1007/978-3-030-01246-5_34openalex-snapshot
A Hybrid Model for Identity Obfuscation by Face Replacement
inferredcites →https://doi.org/10.1007/978-3-030-01246-5_38openalex-snapshot
Learning to Anonymize Faces for Privacy Preserving Action Detection
inferredcites →https://doi.org/10.1007/978-3-540-79228-4_1openalex-snapshot
Differential Privacy: A Survey of Results
inferredcites →https://doi.org/10.1017/9781108891530.013openalex-snapshot
Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/access.2019.2924479openalex-snapshot
Latent-Space-Level Image Anonymization With Adversarial Protector Networks
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.202openalex-snapshot
Stacked Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.632openalex-snapshot
Image-to-Image Translation with Conditional Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00018openalex-snapshot
Disentangled Person Image Generation
inferredcites →https://doi.org/10.1109/cvpr.2018.00916openalex-snapshot
StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation
inferredcites →https://doi.org/10.1109/cvpr.2019.00152openalex-snapshot
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
inferredcites →https://doi.org/10.1109/iccv.2015.178openalex-snapshot
Learning Deconvolution Network for Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv.2015.425openalex-snapshot
Deep Learning Face Attributes in the Wild
inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
inferredcites →https://doi.org/10.1109/iccv.2019.00332openalex-snapshot
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
inferredcites →https://doi.org/10.1145/2810103openalex-snapshot
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security
inferredcites →https://doi.org/10.1161/circoutcomes.118.005122openalex-snapshot
Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing
inferredcites →https://doi.org/10.4230/lipics.wabi.2019.10openalex-snapshot
Jointly Embedding Multiple Single-Cell Omics Measurements
inferredcites →https://doi.org/10.48550/arxiv.0912.0071openalex-snapshot
Differentially Private Empirical Risk Minimization
inferredcites →https://doi.org/10.48550/arxiv.1301.3666openalex-snapshot
Zero-Shot Learning Through Cross-Modal Transfer
inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot
Neural Machine Translation by Jointly Learning to Align and Translate
inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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.1605.06065openalex-snapshot
One-shot Learning with Memory-Augmented Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1606.00704openalex-snapshot
Adversarially Learned Inference
inferredcites →https://doi.org/10.48550/arxiv.1606.00709openalex-snapshot
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
inferredcites →https://doi.org/10.48550/arxiv.1606.03498openalex-snapshot
Improved Techniques for Training GANs
inferredcites →https://doi.org/10.48550/arxiv.1609.03126openalex-snapshot
Energy-based Generative Adversarial Network
inferredcites →https://doi.org/10.48550/arxiv.1704.00028openalex-snapshot
Improved Training of Wasserstein GANs
inferredcites →https://doi.org/10.48550/arxiv.1705.07215openalex-snapshot
On Convergence and Stability of GANs
inferredcites →https://doi.org/10.48550/arxiv.1705.08584openalex-snapshot
MMD GAN: Towards Deeper Understanding of Moment Matching Network
inferredcites →https://doi.org/10.48550/arxiv.1706.08500openalex-snapshot
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
inferredcites →https://doi.org/10.48550/arxiv.1708.07747openalex-snapshot
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
inferredcites →https://doi.org/10.48550/arxiv.1711.05101openalex-snapshot
Decoupled Weight Decay Regularization
inferredcites →https://doi.org/10.48550/arxiv.1712.02621openalex-snapshot
Disentangled Person Image Generation
inferredcites →https://doi.org/10.48550/arxiv.1802.04591openalex-snapshot
First Order Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1804.04779openalex-snapshot
A Hybrid Model for Identity Obfuscation by Face Replacement
inferredcites →https://doi.org/10.48550/arxiv.1906.02735openalex-snapshot
Residual Flows for Invertible Generative Modeling
inferredcites →https://doi.org/10.48550/arxiv.1907.05600openalex-snapshot
Generative Modeling by Estimating Gradients of the Data Distribution
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-12053-4_53openalex-snapshot
Low-Effort Re-identification Techniques Based on Medical Imagery Threaten Patient Privacy
inferred← citeshttps://doi.org/10.1007/978-981-19-0852-1_1openalex-snapshot
Privacy Preserving Facial Image Processing Method Using Variational Autoencoder
inferred← citeshttps://doi.org/10.1007/978-981-99-3300-6_45openalex-snapshot
A Cluster-Based Facial Image Anonymization Method Using Variational Autoencoder
inferred← citeshttps://doi.org/10.1109/access.2023.3297646openalex-snapshot
When AI Meets Information Privacy: The Adversarial Role of AI in Data Sharing Scenario
inferred← citeshttps://doi.org/10.1109/bhi56158.2022.9926856openalex-snapshot
Class Activation Maps for the disentanglement and occlusion of identity attributes in medical imagery
inferred← citeshttps://doi.org/10.1109/cbms55023.2022.00079openalex-snapshot
Patient identification methods based on medical imagery and their impact on patient privacy and open medical data
inferred← citeshttps://doi.org/10.1109/cec60901.2024.10612195openalex-snapshot
Black-Box Optimization Based Adaptive Image Anonymization
inferred← citeshttps://doi.org/10.1109/jiot.2023.3235725openalex-snapshot
Enhanced Embedded AutoEncoders: An Attribute-Preserving Face De-Identification Framework
inferred← citeshttps://doi.org/10.1145/3638530.3654427openalex-snapshot
Evolutionary Algorithm Based Adaptive Image Anonymization
inferred← citeshttps://doi.org/10.1145/3706108openalex-snapshot
Implications of Privacy Regulations on Video Surveillance Systems
inferred← citeshttps://doi.org/10.1155/2022/5389359openalex-snapshot
Privacy-Preserved In-Cabin Monitoring System for Autonomous Vehicles
inferred← citeshttps://doi.org/10.3390/app12146962openalex-snapshot
A Novel Generative Model for Face Privacy Protection in Video Surveillance with Utility Maintenance
inferred← citeshttps://doi.org/10.3390/app13116799openalex-snapshot
A Multi-Input Fusion Model for Privacy and Semantic Preservation in Facial Image Datasets
inferred← citeshttps://doi.org/10.3390/electronics11091428openalex-snapshot
Advances in Machine Learning
inferred← citeshttps://doi.org/10.3390/electronics14030608openalex-snapshot
Artifical Intelligence-Based Smart Security System Using Internet of Things for Smart Home Applications
inferred← citeshttps://doi.org/10.5220/0010555600002998openalex-snapshot
Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model’s Complexity
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