| Generation & evaluation of adversarial examples for malware obfuscation D Park, H Khan, B Yener 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 47 | 2019 |
| A survey on practical adversarial examples for malware classifiers D Park, B Yener Reversing and Offensive-oriented Trends Symposium, 23-35, 2020 | 19 | 2020 |
| Towards obfuscated malware detection for low powered iot devices D Park, H Powers, B Prashker, L Liu, B Yener 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 4 | 2020 |
| Short paper: creating adversarial malware examples using code insertion D Park, H Khan, B Yener Arxiv preprint, 2019 | 4 | 2019 |
| Adversary safety by construction in a language of cryptographic protocols TM Braje, AR Lee, A Wagner, B Kaiser, D Park, M Kalke, RK Cunningham, ... 2022 IEEE 35th Computer Security Foundations Symposium (CSF), 412-427, 2022 | 2 | 2022 |
| Thwarting finite difference adversarial attacks with output randomization H Khan, D Park, A Khan, B Yener arXiv preprint arXiv:1905.09871, 2019 | | 2019 |
