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Privacy Preserving

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Showing 1101–1150 of 2975 papers

TitleStatusHype
PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated LearningCode0
A Distributed Privacy Preserving Model for the Detection of Alzheimer's Disease—0
Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes—0
Detection and Defense of Unlearnable ExamplesCode0
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningCode1
Privacy-Preserving Distributed Optimisation using Stochastic PDMM—0
Language-Guided Transformer for Federated Multi-Label ClassificationCode1
Efficient Cross-Domain Federated Learning by MixStyle Approximation—0
Federated Learning Empowered by Generative Content—0
Privacy Preserving Multi-Agent Reinforcement Learning in Supply Chains—0
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation—0
A Privacy-Preserving Framework for Cloud-Based HVAC Control—0
Topology-Based Reconstruction Prevention for Decentralised Learning—0
The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against "Truly Anonymous" Synthetic Datasets—0
On the Impact of Multi-dimensional Local Differential Privacy on FairnessCode0
Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images—0
Privacy-preserving quantum federated learning via gradient hiding—0
FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning—0
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature AugmentationCode0
Federated Learning is Better with Non-Homomorphic Encryption—0
Hot PATE: Private Aggregation of Distributions for Diverse Task—0
Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyond—0
PAC Privacy Preserving Diffusion Models—0
PROFL: A Privacy-Preserving Federated Learning Method with Stringent Defense Against Poisoning Attacks—0
zkDFL: An efficient and privacy-preserving decentralized federated learning with zero-knowledge proof—0
Hashmarks: Privacy-Preserving Benchmarks for High-Stakes AI Evaluation—0
FedEmb: A Vertical and Hybrid Federated Learning Algorithm using Network And Feature Embedding Aggregation—0
Grounding Foundation Models through Federated Transfer Learning: A General Framework—0
Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated LearningCode0
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated LearningCode0
Federated Learning with Diffusion Models for Privacy-Sensitive Vision TasksCode1
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt EngineerCode1
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation—0
A Survey on Vulnerability of Federated Learning: A Learning Algorithm PerspectiveCode1
Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data SynthesisCode0
Eliminating Domain Bias for Federated Learning in Representation SpaceCode4
Hide Your Model: A Parameter Transmission-free Federated Recommender SystemCode0
Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks—0
DP-NMT: Scalable Differentially-Private Machine TranslationCode0
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual ClassificationCode0
A Blockchain Solution for Collaborative Machine Learning over IoT—0
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and ReleaseCode1
PrivateLoRA For Efficient Privacy Preserving LLM—0
Privacy-Preserving Algorithmic Recourse—0
A Theoretical Insight into Attack and Defense of Gradient Leakage in Transformer—0
Enigma: Privacy-Preserving Execution of QAOA on Untrusted Quantum Computers—0
Privacy-Preserving Load Forecasting via Personalized Model Obfuscation—0
FedCPC: An Effective Federated Contrastive Learning Method for Privacy Preserving Early-Stage Alzheimer's Speech Detection—0
Zero redundancy distributed learning with differential privacy—0
Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations—0
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