| Black-Box Training Data Identification in GANs via Detector Networks | Oct 18, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Bounding Information Leakage in Machine Learning | May 9, 2021 | AttributeBIG-bench Machine Learning | —Unverified | 0 |
| Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature | Jul 3, 2024 | Deep LearningInference Attack | —Unverified | 0 |
| DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks | May 16, 2020 | Domain AdaptationInference Attack | —Unverified | 0 |
| Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models | Jun 18, 2024 | FairnessInference Attack | —Unverified | 0 |
| Defending Model Inversion and Membership Inference Attacks via Prediction Purification | May 8, 2020 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| De-identification is not always enough | Jan 31, 2024 | De-identificationInference Attack | —Unverified | 0 |
| Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation | Jan 18, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Differentially Private Data Generative Models | Dec 6, 2018 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 |
| Do Backdoors Assist Membership Inference Attacks? | Mar 22, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk? | Jun 1, 2023 | AttributeInference Attack | —Unverified | 0 |
| DP-GPL: Differentially Private Graph Prompt Learning | Mar 13, 2025 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning | Dec 2, 2024 | Inference AttackL2 Regularization | —Unverified | 0 |
| Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability | Nov 21, 2019 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Efficient Membership Inference Attacks by Bayesian Neural Network | Mar 10, 2025 | Bayesian InferenceInference Attack | —Unverified | 0 |
| Epsilon*: Privacy Metric for Machine Learning Models | Jul 21, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Membership Privacy Evaluation in Deep Spiking Neural Networks | Sep 28, 2024 | Data AugmentationFace Recognition | —Unverified | 0 |
| Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation | Mar 10, 2022 | Image-to-Image TranslationInference Attack | —Unverified | 0 |
| τ: Gradient-based and Task-Agnostic machine Unlearning | Mar 21, 2024 | Inference AttackMachine Unlearning | —Unverified | 0 |
| On the Effectiveness of Regularization Against Membership Inference Attacks | Jun 9, 2020 | image-classificationImage Classification | —Unverified | 0 |
| On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel | Aug 1, 2022 | Benchmarkingimage-classification | —Unverified | 0 |
| On the Privacy Risk of In-context Learning | Nov 15, 2024 | In-Context LearningInference Attack | —Unverified | 0 |
| Orthogonal Soft Pruning for Efficient Class Unlearning | Jun 24, 2025 | Inference AttackMachine Unlearning | —Unverified | 0 |
| Over-the-Air Membership Inference Attacks as Privacy Threats for Deep Learning-based Wireless Signal Classifiers | Jun 25, 2020 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Preserving Privacy in GANs Against Membership Inference Attack | Nov 6, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |