| On the privacy-utility trade-off in differentially private hierarchical text classification | Mar 4, 2021 | General ClassificationInference Attack | CodeCode Available | 0 |
| Assessing differentially private deep learning with Membership Inference | Dec 24, 2019 | Deep LearningInference Attack | CodeCode Available | 0 |
| Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment | Aug 11, 2022 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference | Feb 2, 2022 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning | Mar 30, 2022 | Federated LearningInference Attack | CodeCode Available | 0 |
| Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition | Nov 4, 2024 | Activity RecognitionHuman Activity Recognition | CodeCode Available | 0 |
| Data and Model Dependencies of Membership Inference Attack | Feb 17, 2020 | FairnessInference Attack | CodeCode Available | 0 |
| Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment | Jan 2, 2024 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting | Feb 19, 2021 | Collaborative Inferenceimage-classification | CodeCode Available | 0 |
| Disparate Vulnerability to Membership Inference Attacks | Jun 2, 2019 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| Privacy Attacks on Image AutoRegressive Models | Feb 4, 2025 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
