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Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data With GPUs
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-12612-4_5openalex-snapshot
An Improved RNS Variant of the BFV Homomorphic Encryption Scheme
inferredcites →https://doi.org/10.1007/978-3-319-06734-6_20openalex-snapshot
A Comparison of the Homomorphic Encryption Schemes FV and YASHE
inferredcites →https://doi.org/10.1007/978-3-319-69453-5_23openalex-snapshot
A Full RNS Variant of FV Like Somewhat Homomorphic Encryption Schemes
inferredcites →https://doi.org/10.1007/978-3-319-96878-0_17openalex-snapshot
Fast Homomorphic Evaluation of Deep Discretized Neural Networks
inferredcites →https://doi.org/10.1007/978-3-642-13190-5_1openalex-snapshot
On Ideal Lattices and Learning with Errors over Rings
inferredcites →https://doi.org/10.1007/978-3-642-32009-5_50openalex-snapshot
Fully Homomorphic Encryption without Modulus Switching from Classical GapSVP
inferredcites →https://doi.org/10.1007/978-3-642-37682-5_1openalex-snapshot
ML Confidential: Machine Learning on Encrypted Data
inferredcites →https://doi.org/10.1007/978-3-642-45239-0_4openalex-snapshot
Improved Security for a Ring-Based Fully Homomorphic Encryption Scheme
inferredcites →https://doi.org/10.1007/978-3-662-53018-4_6openalex-snapshot
A Subfield Lattice Attack on Overstretched NTRU Assumptions
inferredcites →https://doi.org/10.1007/978-3-662-53887-6_1openalex-snapshot
Faster Fully Homomorphic Encryption: Bootstrapping in Less Than 0.1 Seconds
inferredcites →https://doi.org/10.1007/s10623-012-9720-4openalex-snapshot
Fully homomorphic SIMD operations
inferredcites →https://doi.org/10.1016/j.media.2016.10.004openalex-snapshot
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/icceet.2012.6203873openalex-snapshot
Cloud computing - concepts, architecture and challenges
inferredcites →https://doi.org/10.1109/tetc.2019.2902799openalex-snapshot
Implementation and Performance Evaluation of RNS Variants of the BFV Homomorphic Encryption Scheme
inferredcites →https://doi.org/10.1145/1536414.1536440openalex-snapshot
Fully homomorphic encryption using ideal lattices
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3133956.3134056openalex-snapshot
Oblivious Neural Network Predictions via MiniONN Transformations
inferredcites →https://doi.org/10.1145/3243734.3243837openalex-snapshot
Secure Outsourced Matrix Computation and Application to Neural Networks
inferredcites →https://doi.org/10.1515/jmc-2015-0016openalex-snapshot
On the concrete hardness of Learning with Errors
inferredcites →https://doi.org/10.46586/tches.v2018.i2.70-95openalex-snapshot
High-Performance FV Somewhat Homomorphic Encryption on GPUs: An Implementation using CUDA
inferredcites →https://doi.org/10.48550/arxiv.1308.3432openalex-snapshot
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
inferredcites →https://doi.org/10.48550/arxiv.1508.06845openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.1606.06160openalex-snapshot
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
inferredcites →https://doi.org/10.48550/arxiv.1711.05189openalex-snapshot
CryptoDL: Deep Neural Networks over Encrypted Data
inferredcites →https://doi.org/10.48550/arxiv.1811.09953openalex-snapshot
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
inferredcites →https://doi.org/10.48550/arxiv.1902.07342openalex-snapshot
XONN: XNOR-based Oblivious Deep Neural Network Inference
inferredcites →https://doi.org/10.57702/zp44cu3gopenalex-snapshot
Learning Multiple Layers of Features from Tiny Images
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Homomorphic Encrypted Revenue Management
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Latency-Aware Inference on Convolutional Neural Network Over Homomorphic Encryption
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inferred← citeshttps://doi.org/10.1007/978-3-031-54773-7_13openalex-snapshot
Memory Efficient Privacy-Preserving Machine Learning Based on Homomorphic Encryption
inferred← citeshttps://doi.org/10.1007/978-3-031-77229-0_4openalex-snapshot
Development of an Approach to Confidential Learning with Errors in the Design of Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-78354-8_4openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iiswc59245.2023.00030openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iolts59296.2023.10224890openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/sp40001.2021.00098openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/sp61157.2025.00078openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcad.2022.3204909openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tetc.2023.3261360openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tifs.2023.3267677openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tpds.2022.3228628openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tpds.2025.3574481openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/wacv61041.2025.00231openalex-snapshot
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inferred← citeshttps://doi.org/10.1142/s0129065724500254openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3599733.3600254openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3605098.3635983openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3625687.3628394openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3626232.3653277openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3676641.3716251openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3703452openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3725843.3756103openalex-snapshot
Athena: Accelerating Quantized Convolutional Neural Networks under Fully Homomorphic Encryption
inferred← citeshttps://doi.org/10.1145/3732942openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3797905.3800539openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3799230openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3838797openalex-snapshot
APKOS: Accurate and Privacy-Preserving Keyword Spotting for Intelligent Voice Assistant Systems
inferred← citeshttps://doi.org/10.1186/s13040-024-00379-9openalex-snapshot
Private pathological assessment via machine learning and homomorphic encryption
inferred← citeshttps://doi.org/10.1371/journal.pone.0271714openalex-snapshot
Predicting age and gender from network telemetry: Implications for privacy and impact on policy
inferred← citeshttps://doi.org/10.1371/journal.pone.0306420openalex-snapshot
Self-learning activation functions to increase accuracy of privacy-preserving Convolutional Neural Networks with homomorphic encryption
inferred← citeshttps://doi.org/10.1587/transfun.2024eal2090openalex-snapshot
Polynomial Approximations of ReLU for Secure CNN Inference in Homomorphic Encryption Environments
inferred← citeshttps://doi.org/10.2196/29871openalex-snapshot
Data Anonymization for Pervasive Health Care: Systematic Literature Mapping Study
inferred← citeshttps://doi.org/10.23919/indiacom66777.2025.11115808openalex-snapshot
Enhancing Privacy in Deep Neural Networks: Techniques and Application
inferred← citeshttps://doi.org/10.24846/v32i1y202304openalex-snapshot
Encrypted Data Learning and Prediction Using a BFV-based Cryptographic Convolutional Neural Network
inferred← citeshttps://doi.org/10.29350/qjps.2022.27.1.1452openalex-snapshot
A Comparative Study Of Combining Deep Learning And Homomorphic Encryption Techniques
inferred← citeshttps://doi.org/10.32604/jihpp.2022.039284openalex-snapshot
A Survey of Privacy Preservation for Deep Learning Applications
inferred← citeshttps://doi.org/10.3389/fimag.2026.1966936openalex-snapshot
Differentially private federated learning for image analysis in smart-city surveillance
inferred← citeshttps://doi.org/10.3390/a15070229openalex-snapshot
Privacy-Preserving Feature Selection with Fully Homomorphic Encryption
inferred← citeshttps://doi.org/10.3390/app11156790openalex-snapshot
Physical Side-Channel Attacks on Embedded Neural Networks: A Survey
inferred← citeshttps://doi.org/10.3390/app12083997openalex-snapshot
Obfuscation Algorithm for Privacy-Preserving Deep Learning-Based Medical Image Analysis
inferred← citeshttps://doi.org/10.3390/app122211462openalex-snapshot
Communication-Efficient Secure Federated Statistical Tests from Multiparty Homomorphic Encryption
inferred← citeshttps://doi.org/10.3390/app13084815openalex-snapshot
LHDNN: Maintaining High Precision and Low Latency Inference of Deep Neural Networks on Encrypted Data
inferred← citeshttps://doi.org/10.3390/app14031224openalex-snapshot
Privacy-Preserving Deep Learning Framework Based on Restricted Boltzmann Machines and Instance Reduction Algorithms
inferred← citeshttps://doi.org/10.3390/electronics12112437openalex-snapshot
Adversarial Perturbation Elimination with GAN Based Defense in Continuous-Variable Quantum Key Distribution Systems
inferred← citeshttps://doi.org/10.3390/electronics14030464openalex-snapshot
Efficient Quantization and Data Access for Accelerating Homomorphic Encrypted CNNs
inferred← citeshttps://doi.org/10.3390/electronics14101982openalex-snapshot
FICConvNet: A Privacy-Preserving Framework for Malware Detection Using CKKS Homomorphic Encryption
inferred← citeshttps://doi.org/10.3390/fi15120407openalex-snapshot
HeFUN: Homomorphic Encryption for Unconstrained Secure Neural Network Inference
inferred← citeshttps://doi.org/10.3390/info15110723openalex-snapshot
Privacy-Preserving ConvMixer Without Any Accuracy Degradation Using Compressible Encrypted Images
inferred← citeshttps://doi.org/10.3390/s24092921openalex-snapshot
AI Concepts for System of Systems Dynamic Interoperability
inferred← citeshttps://doi.org/10.3390/s25144320openalex-snapshot
Efficient Keyset Design for Neural Networks Using Homomorphic Encryption
inferred← citeshttps://doi.org/10.36227/techrxiv.170956397.78402834/v1openalex-snapshot
An Efficient Approach for Securing Audio Data in AI Training with Fully Homomorphic Encryption
inferred← citeshttps://doi.org/10.36227/techrxiv.172114666.63343276/v1openalex-snapshot
FedCrypt: A Dynamic White-Box Watermarking Scheme for Homomorphic Federated Learning
inferred← citeshttps://doi.org/10.36227/techrxiv.172296728.87985494/v1openalex-snapshot
Privacy of Deep Learning Systems: A Penetration Testing Framework
inferred← citeshttps://doi.org/10.37575/b/eng/210044openalex-snapshot
Asymmetric Encryption Method Proposed for Arabic Letters Using Artificial Neural Networks
inferred← citeshttps://doi.org/10.3991/ijoe.v19i11.40267openalex-snapshot
Secure Data Computation Using Deep Learning and Homomorphic Encryption: A Survey
inferred← citeshttps://doi.org/10.4018/979-8-3693-5330-1.ch017openalex-snapshot
Privacy-Preserving Machine Learning Cryptographic Techniques for Secure Data Analysis
inferred← citeshttps://doi.org/10.48550/arxiv.1901.10074openalex-snapshot
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images
inferred← citeshttps://doi.org/10.48550/arxiv.1912.03485openalex-snapshot
Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments
inferred← citeshttps://doi.org/10.48550/arxiv.2008.08753openalex-snapshot
When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control
inferred← citeshttps://doi.org/10.48550/arxiv.2012.13552openalex-snapshot
Neural Network Training With Homomorphic Encryption
inferred← citeshttps://doi.org/10.48550/arxiv.2103.03411openalex-snapshot
Efficient Encrypted Inference on Ensembles of Decision Trees
inferred← citeshttps://doi.org/10.48550/arxiv.2104.03152openalex-snapshot
TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption
inferred← citeshttps://doi.org/10.48550/arxiv.2104.10949openalex-snapshot
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
inferred← citeshttps://doi.org/10.48550/arxiv.2107.12342openalex-snapshot
Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning
inferred← citeshttps://doi.org/10.5244/c.34.27openalex-snapshot
Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision Sensors
inferred← citeshttps://doi.org/10.56553/popets-2023-0020openalex-snapshot
HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data
inferred← citeshttps://doi.org/10.5772/intechopen.1006690openalex-snapshot
Private SVM Inference on Encrypted Data
inferred← citeshttps://doi.org/10.9728/dcs.2023.24.4.725openalex-snapshot
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