| 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 |
| Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models | May 29, 2019 | Inference AttackVocal Bursts Intensity Prediction | —Unverified | 0 |
| Privacy Risks of Securing Machine Learning Models against Adversarial Examples | May 24, 2019 | Adversarial DefenseBIG-bench Machine Learning | CodeCode Available | 0 |
| Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data | Jan 25, 2019 | BIG-bench Machine LearningGenerative Adversarial Network | —Unverified | 0 |
| Differentially Private Data Generative Models | Dec 6, 2018 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 |
| Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls | Nov 5, 2018 | Active LearningBIG-bench Machine Learning | —Unverified | 0 |
