| Against Membership Inference Attack: Pruning is All You Need | Aug 28, 2020 | AllFraud Detection | —Unverified | 0 |
| ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning | Jul 18, 2020 | BIG-bench Machine LearningInference Attack | —Unverified | 0 |
| Quality Inference in Federated Learning with Secure Aggregation | Jul 13, 2020 | Federated LearningInference Attack | —Unverified | 0 |
| Sharing Models or Coresets: A Study based on Membership Inference Attack | Jul 6, 2020 | Federated LearningInference Attack | —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 |
| On the Effectiveness of Regularization Against Membership Inference Attacks | Jun 9, 2020 | image-classificationImage Classification | —Unverified | 0 |
| DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks | May 16, 2020 | Domain AdaptationInference Attack | —Unverified | 0 |
| Defending Model Inversion and Membership Inference Attacks via Prediction Purification | May 8, 2020 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Data and Model Dependencies of Membership Inference Attack | Feb 17, 2020 | FairnessInference Attack | CodeCode Available | 0 |
| Differentially Private k-Means Clustering with Guaranteed Convergence | Feb 3, 2020 | ClusteringInference Attack | —Unverified | 0 |
| Membership Inference Attacks Against Object Detection Models | Jan 12, 2020 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| Assessing differentially private deep learning with Membership Inference | Dec 24, 2019 | Deep LearningInference Attack | CodeCode Available | 0 |
| An Empirical Study on the Intrinsic Privacy of SGD | Dec 5, 2019 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability | Nov 21, 2019 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks | Oct 31, 2019 | Inference Attack | CodeCode Available | 0 |
| Quantifying (Hyper) Parameter Leakage in Machine Learning | Oct 31, 2019 | BIG-bench Machine LearningInference Attack | —Unverified | 0 |
| Reducing audio membership inference attack accuracy to chance: 4 defenses | Oct 31, 2019 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Eavesdrop the Composition Proportion of Training Labels in Federated Learning | Oct 14, 2019 | Federated LearningInference Attack | —Unverified | 0 |
| Adversarial Privacy Preservation under Attribute Inference Attack | Sep 25, 2019 | AttributeInference Attack | —Unverified | 0 |
| Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges | Sep 17, 2019 | BIG-bench Machine LearningInference Attack | —Unverified | 0 |
| GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models | Sep 9, 2019 | Dataset GenerationInference Attack | CodeCode Available | 0 |
| Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation | Jun 19, 2019 | AttributeInference Attack | —Unverified | 0 |
| Membership Privacy for Machine Learning Models Through Knowledge Transfer | Jun 15, 2019 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 |
| Reconstruction and Membership Inference Attacks against Generative Models | Jun 7, 2019 | Density EstimationInference Attack | CodeCode Available | 0 |
| Disparate Vulnerability to Membership Inference Attacks | Jun 2, 2019 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
