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Privacy Preserving

Papers

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Showing 1801–1850 of 2975 papers

TitleStatusHype
PrivBayes： Private Data release via Bayesian networks—0
Prive-HD: Privacy-Preserved Hyperdimensional Computing—0
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning—0
PrivFT: Private and Fast Text Classification with Homomorphic Encryption—0
PrivHAR: Recognizing Human Actions From Privacy-preserving Lens—0
PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring Numerical Optimizers—0
PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems—0
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation—0
PrivPAS: A real time Privacy-Preserving AI System and applied ethics—0
PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training—0
Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation—0
PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow—0
ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes—0
Profile-Based Privacy for Locally Private Computations—0
PROFL: A Privacy-Preserving Federated Learning Method with Stringent Defense Against Poisoning Attacks—0
A Narrative Review of Identity, Data, and Location Privacy Techniques in Edge Computing and Mobile Crowdsourcing—0
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning—0
ForgetMe: Evaluating Selective Forgetting in Generative Models—0
Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain—0
Props for Machine-Learning Security—0
Protect and Extend -- Using GANs for Synthetic Data Generation of Time-Series Medical Records—0
Protecting Confidentiality, Privacy and Integrity in Collaborative Learning—0
Protecting gender and identity with disentangled speech representations—0
Protecting Privacy of Users in Brain-Computer Interface Applications—0
Application-driven Privacy-preserving Data Publishing with Correlated Attributes—0
Providing Location Information at Edge Networks: A Federated Learning-Based Approach—0
Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning—0
PRSI: Privacy-Preserving Recommendation Model Based on Vector Splitting and Interactive Protocols—0
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning—0
Pura: An Efficient Privacy-Preserving Solution for Face Recognition—0
QualitEye: Public and Privacy-preserving Gaze Data Quality Verification—0
Quantifying and Mitigating Privacy Risks for Tabular Generative Models—0
Quantifying Sample Anonymity in Score-Based Generative Models with Adversarial Fingerprinting—0
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data—0
Quantized Transformer Language Model Implementations on Edge Devices—0
Quantum-Evolutionary Neural Networks for Multi-Agent Federated Learning—0
Quantum Federated Learning for Multimodal Data: A Modality-Agnostic Approach—0
Quantum machine learning with differential privacy—0
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning—0
Quantum Privacy-Preserving Data Mining—0
Quantum Privacy-Preserving Perceptron—0
Quantum Split Neural Network Learning using Cross-Channel Pooling—0
Quest: Practical and Oblivious Mitigation Strategies for COVID-19 using WiFi Datasets—0
RaftFed: A Lightweight Federated Learning Framework for Vehicular Crowd Intelligence—0
Ratio Utility and Cost Analysis for Privacy Preserving Subspace Projection—0
Reach Measurement, Optimization and Frequency Capping In Targeted Online Advertising Under k-Anonymity—0
Real-Time Elderly Monitoring for Senior Safety by Lightweight Human Action Recognition—0
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy—0
Recent Advances on Federated Learning: A Systematic Survey—0
Reconstruct Face from Features Using GAN Generator as a Distribution Constraint—0
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