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PrivateDL: Privacy‐preserving collaborative deep learning against leakage from gradient sharing

https://doi.org/10.1002/int.22241
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What this work says

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

inferredcites →https://doi.org/10.1002/int.22105openalex-snapshot
A lightweight clustering–based approach to discover different emotional shades from social message streams
inferredcites →https://doi.org/10.1002/int.22129openalex-snapshot
Virtual learning environment to predict withdrawal by leveraging deep learning
inferredcites →https://doi.org/10.1002/int.22161openalex-snapshot
Real‐time force doors detection system using distributed sensors and neural networks
inferredcites →https://doi.org/10.1007/11681878_14openalex-snapshot
Calibrating Noise to Sensitivity in Private Data Analysis
inferredcites →https://doi.org/10.1007/978-3-030-63076-8_2openalex-snapshot
Deep Leakage from Gradients
inferredcites →https://doi.org/10.1007/978-3-319-57959-7openalex-snapshot
The EU General Data Protection Regulation (GDPR)
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/10.1016/j.ins.2018.10.024openalex-snapshot
Secure Multi-Party Computation: Theory, practice and applications
inferredcites →https://doi.org/10.1016/j.ins.2019.05.061openalex-snapshot
A game-theoretic method based on Q-learning to invalidate criminal smart contracts
inferredcites →https://doi.org/10.1080/17517575.2019.1597387openalex-snapshot
Secure computation protocols under asymmetric scenarios in enterprise information system
inferredcites →https://doi.org/10.1109/acsac14895.2008openalex-snapshot
2008 Annual Computer Security Applications Conference (ACSAC)
inferredcites →https://doi.org/10.1109/csf.2017.11openalex-snapshot
Rényi Differential Privacy
inferredcites →https://doi.org/10.1109/cvpr.2014.220openalex-snapshot
DeepFace: Closing the Gap to Human-Level Performance in Face Verification
inferredcites →https://doi.org/10.1109/infocom.2019.8737416openalex-snapshot
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
inferredcites →https://doi.org/10.1109/sp.2017.12openalex-snapshot
SecureML: A System for Scalable Privacy-Preserving Machine Learning
inferredcites →https://doi.org/10.1109/sp.2017.41openalex-snapshot
Membership Inference Attacks Against Machine Learning Models
inferredcites →https://doi.org/10.1109/sp.2019.00029openalex-snapshot
Exploiting Unintended Feature Leakage in Collaborative Learning
inferredcites →https://doi.org/10.1145/1536414.1536440openalex-snapshot
Fully homomorphic encryption using ideal lattices
inferredcites →https://doi.org/10.1145/2810103.2813677openalex-snapshot
Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
inferredcites →https://doi.org/10.1145/2810103.2813687openalex-snapshot
Privacy-Preserving Deep Learning
inferredcites →https://doi.org/10.1145/2976749.2978318openalex-snapshot
Deep Learning with Differential Privacy
inferredcites →https://doi.org/10.1145/3133956.3134012openalex-snapshot
Deep Models Under the GAN
inferredcites →https://doi.org/10.1145/3195970.3196023openalex-snapshot
Deepsecure
inferredcites →https://doi.org/10.1145/3196494.3196522openalex-snapshot
Chameleon
inferredcites →https://doi.org/10.1533/9780857099440openalex-snapshot
Machine learning and data mining
inferredcites →https://doi.org/10.2478/popets-2019-0035openalex-snapshot
SecureNN: 3-Party Secure Computation for Neural Network Training
inferredcites →https://doi.org/10.48550/arxiv.1103.0398openalex-snapshot
Natural Language Processing (almost) from Scratch
inferredcites →https://doi.org/10.7551/mitpress/1120.001.0001openalex-snapshot
Advances in Neural Information Processing Systems 14

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/int.22296openalex-snapshot
DSVD‐autoencoder: A scalable distributed privacy‐preserving method for one‐class classification
inferred← citeshttps://doi.org/10.1002/int.22356openalex-snapshot
Privacy preservation for image data: A GAN‐based method
inferred← citeshttps://doi.org/10.1002/int.22499openalex-snapshot
A lightweight 3D convolutional neural network for deepfake detection
inferred← citeshttps://doi.org/10.1002/int.22792openalex-snapshot
Document images forgery localization using a two‐stream network
inferred← citeshttps://doi.org/10.1002/int.23020openalex-snapshot
Privacy‐enhancing machine learning framework with private aggregation of teacher ensembles
inferred← citeshttps://doi.org/10.1002/int.23028openalex-snapshot
Server‐aided multiparty private set intersection protocols for lightweight clients and the application in intelligent logistics
inferred← citeshttps://doi.org/10.1002/widm.1490openalex-snapshot
Privacy‐preserving data mining and machine learning in healthcare: Applications, challenges, and solutions
inferred← citeshttps://doi.org/10.1007/978-3-030-88052-1_11openalex-snapshot
Rare Variants Analysis in Genetic Association Studies with Privacy Protection via Hybrid System
inferred← citeshttps://doi.org/10.1007/978-3-031-30623-5_7openalex-snapshot
A Scheme of Anti Gradient Leakage of Federated Learning Based on Blockchain
inferred← citeshttps://doi.org/10.1007/s10207-023-00670-6openalex-snapshot
AAIA: an efficient aggregation scheme against inverting attack for federated learning
inferred← citeshttps://doi.org/10.1007/s10462-024-10797-0openalex-snapshot
Robust and privacy-preserving collaborative training: a comprehensive survey
inferred← citeshttps://doi.org/10.1007/s12652-020-02664-xopenalex-snapshot
Verifiable and privacy preserving federated learning without fully trusted centers
inferred← citeshttps://doi.org/10.1007/s12652-021-03092-1openalex-snapshot
An efficient lattice-based linkable ring signature scheme with scalability to multiple layer
inferred← citeshttps://doi.org/10.1007/s13042-020-01240-1openalex-snapshot
Generating transferable adversarial examples based on perceptually-aligned perturbation
inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106782openalex-snapshot
Secure video retrieval using image query on an untrusted cloud
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111139openalex-snapshot
Differential private federated learning with per-sample adaptive clipping and layer-wise gradient perturbation
inferred← citeshttps://doi.org/10.1016/j.ijleo.2022.170420openalex-snapshot
A non-interactive privacy preserved training technique based on hybrid deep learning
inferred← citeshttps://doi.org/10.1016/j.sysarc.2022.102819openalex-snapshot
Differentially private stochastic gradient descent via compression and memorization
inferred← citeshttps://doi.org/10.1109/access.2023.3264903openalex-snapshot
A Reliable Application of MPC for Securing the Tri-Training Algorithm
inferred← citeshttps://doi.org/10.1109/access.2024.3422487openalex-snapshot
A Deep Learning Cache Framework for Privacy Security on Heterogeneous IoT Networks
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00018openalex-snapshot
Privacy-preserving Collaborative Learning with Automatic Transformation Search
inferred← citeshttps://doi.org/10.1109/infocom53939.2023.10229091openalex-snapshot
Fast Generation-Based Gradient Leakage Attacks against Highly Compressed Gradients
inferred← citeshttps://doi.org/10.1109/tdsc.2024.3384244openalex-snapshot
Privacy-Preserving Collaborative Learning for Genome Analysis via Secure XGBoost
inferred← citeshttps://doi.org/10.1109/tdsc.2024.3387570openalex-snapshot
Fast Generation-Based Gradient Leakage Attacks: An Approach to Generate Training Data Directly From the Gradient
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3564697openalex-snapshot
Poisoning as a Post-Protection: Mitigating Membership Privacy Leakage From Gradient and Prediction of Federated Models
inferred← citeshttps://doi.org/10.1109/tifs.2022.3227761openalex-snapshot
Using Highly Compressed Gradients in Federated Learning for Data Reconstruction Attacks
inferred← citeshttps://doi.org/10.1109/tnse.2022.3206243openalex-snapshot
Efficient and Secure Federated Learning With Verifiable Weighted Average Aggregation
inferred← citeshttps://doi.org/10.1109/tocs53301.2021.9688808openalex-snapshot
Multi-Party Security Collaboration Model of Electric Power Data Based on Federated Learning
inferred← citeshttps://doi.org/10.1109/tpami.2023.3262813openalex-snapshot
Automatic Transformation Search Against Deep Leakage From Gradients
inferred← citeshttps://doi.org/10.1142/s0129065723500338openalex-snapshot
Swarm-FHE: Fully Homomorphic Encryption-based Swarm Learning for Malicious Clients
inferred← citeshttps://doi.org/10.1145/3423558openalex-snapshot
Collusion-free for Cloud Verification toward the View of Game Theory
inferred← citeshttps://doi.org/10.1145/3474123.3486760openalex-snapshot
Private Hierarchical Clustering and Efficient Approximation
inferred← citeshttps://doi.org/10.1145/3534678.3539039openalex-snapshot
Felicitas: Federated Learning in Distributed Cross Device Collaborative Frameworks
inferred← citeshttps://doi.org/10.1145/3766671.3766746openalex-snapshot
A Lightweight Splitted Federated Learning Algorithm for Financial Crime Detection
inferred← citeshttps://doi.org/10.1155/2021/5404061openalex-snapshot
SSGD: A Safe and Efficient Method of Gradient Descent
inferred← citeshttps://doi.org/10.14778/3603581.3603583openalex-snapshot
Olive: Oblivious Federated Learning on Trusted Execution Environment against the Risk of Sparsification
inferred← citeshttps://doi.org/10.26481/dis.20221114csopenalex-snapshot
Privacy-preserving personal data analysis
inferred← citeshttps://doi.org/10.2991/978-94-6463-264-4_41openalex-snapshot
Research on Data Privacy Protection Strategies Based on Artificial Intelligence
inferred← citeshttps://doi.org/10.3233/ds-210036openalex-snapshot
A systematic review on privacy-preserving distributed data mining
inferred← citeshttps://doi.org/10.3390/e25081125openalex-snapshot
Communication-Efficient and Privacy-Preserving Verifiable Aggregation for Federated Learning
inferred← citeshttps://doi.org/10.3837/tiis.2025.05.004openalex-snapshot
Cross-domain Secure Sharing Algorithm of Internet of Things Privacy Data Based on Artificial Intelligence
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