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2020 – today
- 2023
[c9]Pooria Madani:
Metamorphic Malware Evolution: The Potential and Peril of Large Language Models. TPS-ISA 2023: 74-81- 2022
- [c8]Pooria Madani
, Natalija Vlajic:
Effective Segmentation of RSSI Timeseries Produced by Stationary IoT Nodes: Comparative Study. ADIoT 2022: 84-101 - 2021
- [j2]Pooria Madani, Natalija Vlajic:
RSSI-Based MAC-Layer Spoofing Detection: Deep Learning Approach. J. Cybersecur. Priv. 1(3): 453-469 (2021) - [c7]Shadi Sadeghpour, Natalija Vlajic, Pooria Madani, Dusan Stevanovic:
Unsupervised ML Based Detection of Malicious Web Sessions with Automated Feature Selection: Design and Real-World Validation. CCNC 2021: 1-9 - 2020
- [c6]Pooria Madani, Natalija Vlajic, Shadi Sadeghpour:
MAC-Layer Spoofing Detection and Prevention in IoT Systems: Randomized Moving Target Approach. CPSIOTSEC@CCS 2020: 71-80
2010 – 2019
- 2019
- [c5]Pooria Madani, Natalija Vlajic:
Near-optimal Evasion of Randomized Convex-inducing Classifiers in Adversarial Environments. ARES 2019: 32:1-32:6 - 2018
- [c4]Pooria Madani, Natalija Vlajic:
Robustness of deep autoencoder in intrusion detection under adversarial contamination. HotSoS 2018: 1:1-1:8 - 2017
- [j1]Xue Ying Shi, Natalija Vlajic, Hamzeh Roumani, Pooria Madani:
Rethinking the Use of Resource Hints in HTML5: Is Faster Always Better!? J. Cyber Secur. Mobil. 6(2): 195-226 (2017) - [c3]Natalija Vlajic, Xue Ying Shi, Hamzeh Roumani, Pooria Madani:
Resource Hints in HTML5: A New Pandora's Box of Security Nightmares. ARES 2017: 61:1-61:9 - 2016
- [c2]Pooria Madani, Natalija Vlajic:
Towards sequencing malicious system calls. CNS 2016: 376-377 - 2015
- [c1]Pooria Madani:
A Framework for Discovering Bursty Events and Their Relationships from Online News Articles. Canadian AI 2015: 352-355
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