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Privacy Preserving

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Showing 1701–1750 of 2975 papers

TitleStatusHype
CrowdGuard: Federated Backdoor Detection in Federated LearningCode0
Mitigating Unintended Memorization in Language Models via Alternating Teaching—0
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition—0
Differentially Private Bootstrap: New Privacy Analysis and Inference StrategiesCode0
Momentum Aggregation for Private Non-convex ERM—0
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt LearningCode1
mPSAuth: Privacy-Preserving and Scalable Authentication for Mobile Web Applications—0
Synthetic Dataset Generation for Privacy-Preserving Machine Learning—0
Federated Boosted Decision Trees with Differential PrivacyCode1
Fine-Tuning with Differential Privacy Necessitates an Additional Hyperparameter Search—0
Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption—0
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving DesensitizationCode2
Distributed Non-Convex Optimization with One-Bit Compressors on Heterogeneous Data: Efficient and Resilient Algorithms—0
Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition—0
Privacy-Preserving Feature Coding for Machines—0
Heterogeneous Graph Neural Network for Privacy-Preserving RecommendationCode1
BETOLD: A Task-Oriented Dialog Dataset for Breakdown Detection—0
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph—0
Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning—0
Differentially Private Optimization on Large Model at Small CostCode1
Differentially Private Bias-Term Fine-tuning of Foundation ModelsCode1
On the Impossible Safety of Large AI Models—0
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction—0
PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems—0
Joint Optimization of Energy Consumption and Completion Time in Federated Learning—0
No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy"—0
A Secure Federated Learning Framework for Residential Short Term Load Forecasting—0
Federated Stain Normalization for Computational PathologyCode0
Momentum Gradient Descent Federated Learning with Local Differential Privacy—0
Securing Federated Learning against Overwhelming Collusive Attackers—0
A Snapshot of the Frontiers of Client Selection in Federated Learning—0
Privacy-Preserving Synthetic Data Generation for Recommendation SystemsCode1
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual ExplanationsCode0
DP-TrajGAN_ A privacy-aware trajectory generation model with differential privacy—0
Privacy-Preserving Online Content Moderation: A Federated Learning Use Case—0
Differentially private partitioned variational inferenceCode0
Vector-valued Privacy-Preserving Average Consensus—0
Privacy-Preserving Person Detection Using Low-Resolution Infrared Cameras—0
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference—0
Audit and Improve Robustness of Private Neural Networks on Encrypted Data—0
Hierarchical fuzzy neural networks with privacy preservation for heterogeneous big dataCode0
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model using Subspace Perturbation—0
Federated Coordinate Descent for Privacy-Preserving Multiparty Linear Regression—0
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis—0
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation—0
Differentially Private Stochastic Gradient Descent with Low-Noise—0
Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis—0
FADE: Enabling Federated Adversarial Training on Heterogeneous Resource-Constrained Edge Devices—0
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated LearningCode0
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