Mikhail Kazdagli
TitleCited byYear
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
512015
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
152016
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
112014
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
22016
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
12018
Information flow tracking using incremental profiling
M Salajegheh, M Kazdagli, M Christodorescu
US Patent 10,102,368, 2018
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
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Articles 1–9