| Understanding contention-based channels and using them for defense C Hunger, M Kazdagli, A Rawat, A Dimakis, S Vishwanath, M Tiwari 2015 IEEE 21st International Symposium on High Performance Computer …, 2015 | 59 | 2015 |
| Quantifying and improving the efficiency of hardware-based mobile malware detectors M Kazdagli, VJ Reddi, M Tiwari 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016 | 25 | 2016 |
| Morpheus: Benchmarking computational diversity in mobile malware M Kazdagli, L Huang, V Reddi, M Tiwari Proceedings of the Third Workshop on Hardware and Architectural Support for …, 2014 | 12 | 2014 |
| Information flow tracking using incremental profiling M Salajegheh, M Kazdagli, M Christodorescu US Patent 10,102,368, 2018 | 3 | 2018 |
| EMMA: A new platform to evaluate hardware-based mobile malware analyses M Kazdagli, L Huang, V Reddi, M Tiwari arXiv preprint arXiv:1603.03086, 2016 | 2 | 2016 |
| The shape of alerts: Detecting malware using distributed detectors by robustly amplifying transient correlations M Kazdagli, C Caramanis, S Shakkottai, M Tiwari arXiv preprint arXiv:1803.00883, 2018 | 1 | 2018 |
| Robust behavioral malware detection M Kazdagli | | 2018 |
| Exploiting Latent Attack Semantics for Intelligent Malware Detection M Kazdagli, C Caramanis, S Shakkottai, M Tiwari arXiv preprint arXiv:1708.01864, 2017 | | 2017 |
| Early and Robust Malware Detection in Enterprise Networks M Kazdagli, C Caramanis, S Shakkottai, M Tiwari | | |
