| Data Valuation and Detections in Federated Learning | Nov 9, 2023 | Data ValuationFederated Learning | CodeCode Available | 1 |
| A Distributed Trust Framework for Privacy-Preserving Machine Learning | Jun 3, 2020 | BIG-bench Machine LearningData Poisoning | CodeCode Available | 1 |
| DCT-CryptoNets: Scaling Private Inference in the Frequency Domain | Aug 27, 2024 | image-classificationImage Classification | CodeCode Available | 1 |
| CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi Sensing | May 28, 2025 | Multi-Task LearningPrivacy Preserving | CodeCode Available | 1 |
| CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU | Apr 22, 2021 | BIG-bench Machine LearningCPU | CodeCode Available | 1 |
| CTAB-GAN+: Enhancing Tabular Data Synthesis | Apr 1, 2022 | Privacy Preserving | CodeCode Available | 1 |
| Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds | May 6, 2016 | Privacy Preserving | CodeCode Available | 1 |
| Communication-Efficient Federated Learning with Binary Neural Networks | Oct 5, 2021 | BinarizationFederated Learning | CodeCode Available | 1 |
| Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining | Dec 13, 2022 | PositionPrivacy Preserving | CodeCode Available | 1 |
| DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation | Mar 20, 2021 | Dimensionality ReductionNavigate | CodeCode Available | 1 |
| Differentially Private Bias-Term Fine-tuning of Foundation Models | Sep 30, 2022 | Privacy Preserving | CodeCode Available | 1 |
| CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approaches | Sep 20, 2023 | EthicsGraph Matching | CodeCode Available | 1 |
| Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? | Mar 16, 2020 | Privacy Preserving | CodeCode Available | 1 |
| Can Foundation Models Help Us Achieve Perfect Secrecy? | May 27, 2022 | Federated LearningIn-Context Learning | CodeCode Available | 1 |
| BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities | Jan 24, 2025 | Brain DecodingImage Reconstruction | CodeCode Available | 1 |
| Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory | Oct 27, 2023 | Privacy Preserving | CodeCode Available | 1 |
| CipherPrune: Efficient and Scalable Private Transformer Inference | Feb 24, 2025 | Privacy Preserving | CodeCode Available | 1 |
| Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural Networks | Apr 28, 2020 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 1 |
| Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning | Sep 12, 2022 | Federated Learningimage-classification | CodeCode Available | 1 |
| COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition | Mar 10, 2025 | Activity RecognitionHuman Activity Recognition | CodeCode Available | 1 |
| Attack-Aware Noise Calibration for Differential Privacy | Jul 2, 2024 | Privacy PreservingSensitivity | CodeCode Available | 1 |
| Continual atlas-based segmentation of prostate MRI | Nov 1, 2023 | Continual Learningimage-classification | CodeCode Available | 1 |
| Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data | Aug 7, 2023 | Contrastive LearningFederated Learning | CodeCode Available | 1 |
| CryptoNN: Training Neural Networks over Encrypted Data | Apr 15, 2019 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 1 |
| Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning | Nov 18, 2020 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 1 |
