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Privacy Preserving

Papers

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TitleStatusHype
A federated graph neural network framework for privacy-preserving personalizationCode1
HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx modelsCode1
CipherPrune: Efficient and Scalable Private Transformer InferenceCode1
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth ImagesCode1
ID-Booth: Identity-consistent Face Generation with Diffusion ModelsCode1
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New BaselineCode1
CTAB-GAN+: Enhancing Tabular Data SynthesisCode1
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity TheoryCode1
A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-ServiceCode1
Language-Guided Transformer for Federated Multi-Label ClassificationCode1
LenslessFace: An End-to-End Optimized Lensless System for Privacy-Preserving Face VerificationCode1
Local Learning Matters: Rethinking Data Heterogeneity in Federated LearningCode1
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy ProtectionCode1
Masked LARk: Masked Learning, Aggregation and Reporting worKflowCode1
Active Membership Inference Attack under Local Differential Privacy in Federated LearningCode1
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 CitiesCode1
MMASD: A Multimodal Dataset for Autism Intervention AnalysisCode1
MMASD+: A Novel Dataset for Privacy-Preserving Behavior Analysis of Children with Autism Spectrum DisorderCode1
Can Foundation Models Help Us Achieve Perfect Secrecy?Code1
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE ResultsCode1
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?Code1
Non-uniform Speaker Disentanglement For Depression Detection From Raw Speech SignalsCode1
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain ActivitiesCode1
CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning ApproachesCode1
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive EvaluationCode1
PAKTON: A Multi-Agent Framework for Question Answering in Long Legal AgreementsCode1
Pencil: Private and Extensible Collaborative Learning without the Non-Colluding AssumptionCode1
Performance Optimization for Federated Person Re-identification via Benchmark AnalysisCode1
PFA: Privacy-preserving Federated Adaptation for Effective Model PersonalizationCode1
PHEVA: A Privacy-preserving Human-centric Video Anomaly Detection DatasetCode1
PPFL: Privacy-preserving Federated Learning with Trusted Execution EnvironmentsCode1
Practical Vertical Federated Learning with Unsupervised Representation LearningCode1
Privacy-Preserving Action Recognition via Motion Difference QuantizationCode1
Privacy-preserving Collaborative Learning with Automatic Transformation SearchCode1
Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New DatasetCode1
Privacy-Preserving Diffusion Model Using Homomorphic EncryptionCode1
Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta LearningCode1
Privacy-Preserving Gradient Boosting Decision TreesCode1
Privacy-Preserving Portrait MattingCode1
Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated LearningCode1
Privacy-preserving Traffic Flow Prediction: A Federated Learning ApproachCode1
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram DigitizationCode1
Privacy-Preserving XGBoost InferenceCode1
Private and Reliable Neural Network InferenceCode1
EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMsCode1
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret SharingCode1
Attack-Aware Noise Calibration for Differential PrivacyCode1
TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron ProvenanceCode1
Quantifying and Mitigating Privacy Risks of Contrastive LearningCode1
A Survey on Vulnerability of Federated Learning: A Learning Algorithm PerspectiveCode1
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