| 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 |
| TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks | Nov 2, 2018 | Autonomous DrivingAutonomous Vehicles | —Unverified | 0 |
| Understanding Membership Inferences on Well-Generalized Learning Models | Feb 13, 2018 | BIG-bench Machine LearningInference Attack | CodeCode Available | 0 |
| Membership Inference Attacks against Machine Learning Models | Oct 18, 2016 | BIG-bench Machine LearningGeneral Classification | CodeCode Available | 0 |
