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Privacy Preserving

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Showing 1801–1850 of 2975 papers

TitleStatusHype
Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation—0
Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning—0
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming—0
Improved Algorithms for Differentially Private Language Model Alignment—0
Improved Privacy-Preserving PCA Using Optimized Homomorphic Matrix Multiplication—0
Improved Regret for Differentially Private Exploration in Linear MDP—0
Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs—0
Improving Fairness and Robustness in End-to-End Speech Recognition through unsupervised clustering—0
Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty—0
Improving LoRA in Privacy-preserving Federated Learning—0
Improving Multi-Center Generalizability of GAN-Based Fat Suppression using Federated Learning—0
Improving on-device speaker verification using federated learning with privacy—0
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners—0
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains—0
Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem—0
Incentivizing Multi-Tenant Split Federated Learning for Foundation Models at the Network Edge—0
IndicFed: A Federated Approach for Sentiment Analysis in Indic Languages—0
Industrial Scale Privacy Preserving Deep Neural Network—0
Inference Attacks Against Face Recognition Model without Classification Layers—0
Inference Privacy: Properties and Mechanisms—0
Inferring Intentions to Speak Using Accelerometer Data In-the-Wild—0
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for Trustworthy AI—0
In-Home Daily-Life Captioning Using Radio Signals—0
Integrated Sensing, Computation, and Communication for UAV-assisted Federated Edge Learning—0
Integrating Identity-Based Identification against Adaptive Adversaries in Federated Learning—0
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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