SOTAVerified

Privacy Preserving

Papers

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Showing 2551–2600 of 2975 papers

TitleStatusHype
Distributed Non-Convex Optimization with One-Bit Compressors on Heterogeneous Data: Efficient and Resilient Algorithms—0
Buffer-free Class-Incremental Learning with Out-of-Distribution Detection—0
Building and Measuring Privacy-Preserving Predictive Blacklists—0
Building blocks of a task-oriented dialogue system in the healthcare domain—0
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models—0
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition—0
BUNET: Blind Medical Image Segmentation Based on Secure UNET—0
Bytes Are All You Need: Transformers Operating Directly On File Bytes—0
Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises—0
Byzantine-Resilient Secure Federated Learning—0
Byzantine-Robust and Privacy-Preserving Framework for FedML—0
C^3DRec: Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era—0
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning—0
Cali3F: Calibrated Fast Fair Federated Recommendation System—0
Privacy Leakage Overshadowed by Views of AI: A Study on Human Oversight of Privacy in Language Model Agent—0
Can large language models be privacy preserving and fair medical coders?—0
Can LLMs get help from other LLMs without revealing private information?—0
Can One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing—0
Canopy: A Verifiable Privacy-Preserving Token Ring based Communication Protocol for Smart Homes—0
Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities—0
CARMA: Fair and efficient bottleneck congestion management via non-tradable karma credits—0
Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code—0
Catching Elusive Depression via Facial Micro-Expression Recognition—0
Causal inference for data-driven debugging and decision making in cloud computing—0
CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference—0
CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging—0
CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference—0
Centralised rehearsal of decentralised cooperation: Multi-agent reinforcement learning for the scalable coordination of residential energy flexibility—0
Centralized vs. Decentralized Multi-Agent Reinforcement Learning for Enhanced Control of Electric Vehicle Charging Networks—0
Challenges and approaches to privacy preserving post-click conversion prediction—0
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning—0
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training—0
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings—0
Chemical knowledge-informed framework for privacy-aware retrosynthesis learning—0
Chisme: Fully Decentralized Differentiated Deep Learning for Edge Intelligence—0
Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos—0
Client Selection in Federated Learning: Principles, Challenges, and Opportunities—0
Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks—0
Clio: Privacy-Preserving Insights into Real-World AI Use—0
Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Clipping Bias and Remedies—0
Cloud-based Federated Boosting for Mobile Crowdsensing—0
Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images—0
Clustered Data Sharing for Non-IID Federated Learning over Wireless Networks—0
Cluster-Enhanced Federated Graph Neural Network for Recommendation—0
Similarity-based Label Inference Attack against Training and Inference of Split Learning—0
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis—0
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning—0
Code Integrity Attestation for PLCs using Black Box Neural Network Predictions—0
Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner—0
Coincidental Generation—0
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