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Privacy Preserving

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TitleStatusHype
Defense Against Gradient Leakage Attacks via Learning to Obscure Data—0
DP^2-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring—0
DPCOVID: Privacy-Preserving Federated Covid-19 Detection—0
DPD-InfoGAN: Differentially Private Distributed InfoGAN—0
Bootstrap Model Aggregation for Distributed Statistical Learning—0
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information—0
DP-FP: Differentially Private Forward Propagation for Large Models—0
Defending Label Inference Attacks in Split Learning under Regression Setting—0
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling—0
A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model—0
A Personal Privacy Preserving Framework: I Let You Know Who Can See What—0
Defending against Reconstruction Attack in Vertical Federated Learning—0
A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities—0
Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation—0
DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning—0
AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs—0
2P-DNN : Privacy-Preserving Deep Neural Networks Based on Homomorphic Cryptosystem—0
DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling—0
Efficient and Personalized Mobile Health Event Prediction via Small Language Models—0
Efficient Deep Learning on Multi-Source Private Data—0
DP-TrajGAN_ A privacy-aware trajectory generation model with differential privacy—0
dsLassoCov: a federated machine learning approach incorporating covariate control—0
DTW-SiameseNet: Dynamic Time Warped Siamese Network for Mispronunciation Detection and Correction—0
Dual-Criterion Model Aggregation in Federated Learning: Balancing Data Quantity and Quality—0
Auditing f-Differential Privacy in One Run—0
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