SOTAVerified

Privacy Preserving

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2201–2250 of 2975 papers

TitleStatusHype
VirtualIdentity: Privacy-Preserving User Profiling—0
Vision Through the Veil: Differential Privacy in Federated Learning for Medical Image Classification—0
Visor: Privacy-Preserving Video Analytics as a Cloud Service—0
ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification—0
VLLFL: A Vision-Language Model Based Lightweight Federated Learning Framework for Smart Agriculture—0
Foundation Models in Federated Learning: Assessing Backdoor Vulnerabilities—0
Vulnerability Due to Training Order in Split Learning—0
Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks—0
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems—0
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective—0
When Crowdsensing Meets Federated Learning: Privacy-Preserving Mobile Crowdsensing System—0
When Evolutionary Computation Meets Privacy—0
When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection—0
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions—0
When the Curious Abandon Honesty: Federated Learning Is Not Private—0
Which PPML Would a User Choose? A Structured Decision Support Framework for Developers to Rank PPML Techniques Based on User Acceptance Criteria—0
Human-Imitating Metrics for Training and Evaluating Privacy Preserving Emotion Recognition Models Using Sociolinguistic Knowledge—0
Wi-Fi and Bluetooth Contact Tracing Without User Intervention—0
Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training—0
Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach—0
WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning—0
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning—0
X-World: Accessibility, Vision, and Autonomy Meet—0
Year-over-Year Developments in Financial Fraud Detection via Deep Learning: A Systematic Literature Review—0
You Are What You Write: Preserving Privacy in the Era of Large Language Models—0
You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images—0
Private Networked Federated Learning for Nonsmooth Objectives—0
Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm—0
Zero redundancy distributed learning with differential privacy—0
Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation—0
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things—0
Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV—0
zkDFL: An efficient and privacy-preserving decentralized federated learning with zero-knowledge proof—0
ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs—0
ZKPROV: A Zero-Knowledge Approach to Dataset Provenance for Large Language Models—0
zPROBE: Zero Peek Robustness Checks for Federated Learning—0
Reconstruction of Privacy-Sensitive Data from Protected Templates—0
z-SignFedAvg: A Unified Stochastic Sign-based Compression for Federated Learning—0
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference—0
Secure Distributed On-Device Learning Networks With Byzantine Adversaries—0
Challenges of Privacy-Preserving Machine Learning in IoT—0
Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems—0
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix—0
IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection—0
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection—0
Random Client Selection on Contrastive Federated Learning for Tabular Data—0
PixCell: A generative foundation model for digital histopathology images—0
A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck—0
2P-DNN : Privacy-Preserving Deep Neural Networks Based on Homomorphic Cryptosystem—0
A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model—0
Show:102550
← PrevPage 45 of 60Next →

No leaderboard results yet.