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Privacy Preserving

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Showing 1901–1950 of 2975 papers

TitleStatusHype
Local Differential Privacy for Privacy-Preserving NLP Tasks—0
Local Features Meet Stochastic Anonymization: Revolutionizing Privacy-Preserving Face Recognition for Black-Box Models—0
Locally Differentially Private Bayesian Inference—0
(Locally) Differentially Private Combinatorial Semi-Bandits—0
Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems—0
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes—0
Locally Private Sampling with Public Data—0
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data—0
LoMar: A Local Defense Against Poisoning Attack on Federated Learning—0
LongEval-Retrieval: French-English Dynamic Test Collection for Continuous Web Search Evaluation—0
Long-Term Conversation Analysis: Privacy-Utility Trade-off under Noise and Reverberation—0
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement—0
Loss-Guided Model Sharing and Local Learning Correction in Decentralized Federated Learning for Crop Disease Classification—0
Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation—0
Lossless Privacy-Preserving Aggregation for Decentralized Federated Learning—0
Low-Cost Privacy-Preserving Decentralized Learning—0
Low-Latency Privacy-Preserving Deep Learning Design via Secure MPC—0
Privacy Preserving Location Data Publishing: A Machine Learning Approach—0
Machine Learning Algorithms for Active Monitoring of High Performance Computing as a Service (HPCaaS) Cloud Environments—0
Machine Learning Models Disclosure from Trusted Research Environments (TRE), Challenges and Opportunities—0
MAGNETO: Fingerprinting USB Flash Drives via Unintentional Magnetic Emissions—0
Majority Vote for Distributed Differentially Private Sign Selection—0
Protecting Split Learning by Potential Energy Loss—0
Making the Shoe Fit: Architectures, Initializations, and Tuning for Learning with Privacy—0
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures—0
Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures—0
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems—0
MarS-FL: Enabling Competitors to Collaborate in Federated Learning—0
Activity Recognition on Avatar-Anonymized Datasets with Masked Differential Privacy—0
OPA: One-shot Private Aggregation with Single Client Interaction and its Applications to Federated Learning—0
Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning—0
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract)—0
MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale—0
Median DC for Sign Recovery: Privacy can be Achieved by Deterministic Algorithms—0
Median regression with differential privacy—0
MedOrchestra: A Hybrid Cloud-Local LLM Approach for Clinical Data Interpretation—0
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios—0
Meta Federated Learning—0
Methods for generating and evaluating synthetic longitudinal patient data: a systematic review—0
MilliTRACE-IR: Contact Tracing and Temperature Screening via mm-Wave and Infrared Sensing—0
Minimum Noticeable Difference based Adversarial Privacy Preserving Image Generation—0
Minor Privacy Protection Through Real-time Video Processing at the Edge—0
MIRACLE 3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model construction—0
Mitigating Disparate Impact of Differentially Private Learning through Bounded Adaptive Clipping—0
Mitigating federated learning contribution allocation instability through randomized aggregation—0
Mitigating Group Bias in Federated Learning for Heterogeneous Devices—0
Mitigating Group-Level Fairness Disparities in Federated Visual Language Models—0
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture—0
Mitigating Memorization in LLMs using Activation Steering—0
Mitigating Unintended Memorization in Language Models via Alternating Teaching—0
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