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Privacy Preserving

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Showing 1826–1850 of 2975 papers

TitleStatusHype
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning—0
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives—0
Intelligent Travel Activity Monitoring: Generalized Distributed Acoustic Sensing Approaches—0
Interaction-Aware Parameter Privacy-Preserving Data Sharing in Coupled Systems via Particle Filter Reinforcement Learning—0
Interpretable Machine Learning for Privacy-Preserving Pervasive Systems—0
Intrinsic Gradient Compression for Scalable and Efficient Federated Learning—0
Introducing the Huber mechanism for differentially private low-rank matrix completion—0
Invertible Mask Network for Face Privacy-Preserving—0
Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition—0
IPFed: Identity protected federated learning for user authentication—0
IRG: Generating Synthetic Relational Databases using Deep Learning with Insightful Relational Understanding—0
IR-ORAM: Path Access Type Based Memory Intensity Reduction for Path-ORAM—0
Is merging worth it? Securely evaluating the information gain for causal dataset acquisition—0
Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports—0
Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond—0
Jammer classification with Federated Learning—0
Joint Optimization of Energy Consumption and Completion Time in Federated Learning—0
Joint Relational Database Generation via Graph-Conditional Diffusion Models—0
Joint Resource Optimization, Computation Offloading and Resource Slicing for Multi-Edge Traffic-Cognitive Networks—0
Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text—0
KAN See Your Face—0
On Mitigating the Utility-Loss in Differentially Private Learning: A new Perspective by a Geometrically Inspired Kernel Approach—0
Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning—0
Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference—0
Key Protected Classification for GAN Attack Resilient Collaborative Learning—0
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