| Certified Robustness to Programmable Transformations in LSTMs. | 0 | 0.34 | 2021 |
| Robustness to Programmable String Transformations via Augmented Abstract Training | 0 | 0.34 | 2020 |
| An empirical study on TensorFlow program bugs. | 26 | 0.80 | 2018 |
| MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks. | 1 | 0.34 | 2018 |
