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ORCIDAzqa Nadeem
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2020 – today
- 2024
[b1]Azqa Nadeem:
Understanding Adversary Behavior via XAI: Leveraging Sequence Clustering To Extract Threat Intelligence. Delft University of Technology, Netherlands, 2024- [c9]Azqa Nadeem
:
Cybersecurity as a Crosscutting Concept Across an Undergrad Computer Science Curriculum: An Experience Report. SIGCSE (1) 2024: 916-922 - [i8]Ion Babalau, Azqa Nadeem:
Forecasting Attacker Actions using Alert-driven Attack Graphs. CoRR abs/2408.09888 (2024) - 2023
- [c8]Azqa Nadeem, Daniël Vos, Clinton Cao, Luca Pajola, Simon Dieck, Robert Baumgartner, Sicco Verwer:
SoK: Explainable Machine Learning for Computer Security Applications. EuroS&P 2023: 221-240 - [i7]Azqa Nadeem:
Cybersecurity as a Crosscutting Concept Across an Undergrad Computer Science Curriculum: An Experience Report. CoRR abs/2310.07625 (2023) - [i6]Sònia Leal Díaz, Sergio Pastrana, Azqa Nadeem:
Critical Path Prioritization Dashboard for Alert-driven Attack Graphs. CoRR abs/2310.13079 (2023) - 2022
- [j1]Azqa Nadeem, Sicco Verwer, Stephen Moskal, Shanchieh Jay Yang:
Alert-Driven Attack Graph Generation Using S-PDFA. IEEE Trans. Dependable Secur. Comput. 19(2): 731-746 (2022) - [c7]Azqa Nadeem, Sicco Verwer:
SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple Medoids and Medoid Voting. ECML/PKDD (1) 2022: 157-173 - [p2]Azqa Nadeem, Vera Rimmer, Wouter Joosen, Sicco Verwer:
Intelligent Malware Defenses. Security and Artificial Intelligence 2022: 217-253 - [p1]Vera Rimmer, Azqa Nadeem, Sicco Verwer, Davy Preuveneers, Wouter Joosen:
Open-World Network Intrusion Detection. Security and Artificial Intelligence 2022: 254-283 - [i5]Dennis Mouwen, Sicco Verwer, Azqa Nadeem:
Robust Attack Graph Generation. CoRR abs/2206.07776 (2022) - [i4]Azqa Nadeem, Sicco Verwer:
SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple Medoids and Medoid Voting. CoRR abs/2206.12190 (2022) - [i3]Azqa Nadeem, Daniël Vos, Clinton Cao, Luca Pajola, Simon Dieck, Robert Baumgartner, Sicco Verwer:
SoK: Explainable Machine Learning for Computer Security Applications. CoRR abs/2208.10605 (2022) - 2021
- [c6]Azqa Nadeem, Sicco Verwer, Stephen Moskal, Shanchieh Jay Yang:
Enabling Visual Analytics via Alert-driven Attack Graphs. CCS 2021: 2420-2422 - [c5]Azqa Nadeem, Sicco Verwer, Shanchieh Jay Yang:
SAGE: Intrusion Alert-driven Attack Graph Extractor. VizSec 2021: 36-41 - [i2]Azqa Nadeem, Sicco Verwer, Stephen Moskal, Shanchieh Jay Yang:
SAGE: Intrusion Alert-driven Attack Graph Extractor. CoRR abs/2107.02783 (2021) - 2020
- [c4]Sicco Verwer, Azqa Nadeem, Christian A. Hammerschmidt, Laurens Bliek, Abdullah Al-Dujaili, Una-May O'Reilly:
The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search. AISec@CCS 2020: 61-70 - [c3]Mark Patrick Roeling, Azqa Nadeem, Sicco Verwer:
Hybrid Connection and Host Clustering for Community Detection in Spatial-Temporal Network Data. PKDD/ECML Workshops 2020: 178-204
2010 – 2019
- 2019
- [i1]Azqa Nadeem, Christian A. Hammerschmidt, Carlos Hernandez Gañán, Sicco Verwer:
MalPaCA: Malware Packet Sequence Clustering and Analysis. CoRR abs/1904.01371 (2019) - 2018
- [c2]Tahir Azim, Azqa Nadeem, Anastasia Ailamaki:
Adaptive Cache Mode Selection for Queries over Raw Data. ADMS@VLDB 2018: 51-65 - [c1]Luca Pascarella, Achyudh Ram, Azqa Nadeem, Dinesh Bisesser, Norman Knyazev, Alberto Bacchelli:
Investigating type declaration mismatches in Python. MaLTeSQuE 2018: 43-48
Coauthor Index
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last updated on 2024-09-28 01:31 CEST by the dblp team
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