SOTAVerified

Privacy Preserving

Papers

Showing 501525 of 2975 papers

TitleStatusHype
Synthetic Data Generation with LLM for Improved Depression Prediction0
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative EditingCode2
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow0
Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence0
FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutation0
Tackling Data Heterogeneity in Federated Time Series Forecasting0
Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models0
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data SourcesCode0
mmWave Radar for Sit-to-Stand Analysis: A Comparative Study with Wearables and Kinect0
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement0
Differentially Private Adaptation of Diffusion Models via Noisy Aggregated EmbeddingsCode0
Privacy-Preserving Video Anomaly Detection: A Survey0
SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers0
Hyper-parameter Optimization for Federated Learning with Step-wise Adaptive Mechanism0
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions0
Empirical Privacy Evaluations of Generative and Predictive Machine Learning Models -- A review and challenges for practice0
Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM InteractionsCode0
A Review on Machine Unlearning0
Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable SensorsCode0
FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning0
Federated Domain Generalization via Prompt Learning and AggregationCode0
Locally Private Sampling with Public Data0
Dual-Criterion Model Aggregation in Federated Learning: Balancing Data Quantity and Quality0
Privacy-Preserving Verifiable Neural Network Inference ServiceCode1
Which PPML Would a User Choose? A Structured Decision Support Framework for Developers to Rank PPML Techniques Based on User Acceptance Criteria0
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