| 2022 | EMNLP | Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models. | Hannah Chen, Yangfeng Ji, David E. Evans |
| 2022 | EMNLP | An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models. | Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David E. Evans, Taylor Berg-Kirkpatrick |
| 2022 | ICLR | Understanding Intrinsic Robustness Using Label Uncertainty. | Xiao Zhang, David E. Evans |
| 2021 | DSN | Fourth International Workshop on Dependable and Secure Machine Learning - DSML 2021. | Hui Xu, Guanpeng Li, Homa Alemzadeh, Rakesh Bobba, Varun Chandrasekaran, David E. Evans, Nicolas Papernot, Karthik Pattabiraman, Florian Tramr |
| 2021 | ICLR | Improved Estimation of Concentration Under ℓp-Norm Distance Metrics Using Half Spaces. | Jack Prescott, Xiao Zhang, David E. Evans |
| 2020 | DSN | Third International Workshop on Dependable and Secure Machine Learning - DSML 2020. | Homa Alemzadeh, Rakesh Bobba, Varun Chandrasekaran, David E. Evans, Nicolas Papernot, Karthik Pattabiraman, Florian Tramr |
| 2020 | EMNLP | Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory. | Hannah Chen, Yangfeng Ji, David E. Evans |
| 2018 | DSN | DSML 2018 Introduction. | Homa Alemzadeh, Karthik Pattabiraman, David E. Evans |
| 1999 | SP | Flexible Policy-Directed Code Safety. | David E. Evans, Andrew Twyman |
| 1996 | PLDI | Static Detection of Dynamic Memory Errors. | David E. Evans |