Scholar
Fabio Pierazzi
Google Scholar ID: rAGRBOAAAAAJ
Associate Professor at University College London
Systems Security
Malware Analysis
Concept Drift
Adversarial ML
Problem-Space Attacks
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Citations & Impact
All-time
Citations
2,874
H-index
19
i10-index
24
Publications
20
Co-authors
20
list available
Contact
No contact links provided.
Publications
9 items
SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity
2026
Cited
0
DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift
2025
Cited
0
Breaking Out from the TESSERACT: Reassessing ML-based Malware Detection under Spatio-Temporal Drift
2025
Cited
0
KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs
2025
Cited
0
Unveiling ECC Vulnerabilities: LSTM Networks for Operation Recognition in Side-Channel Attacks
2025
Cited
0
On the Effectiveness of Adversarial Training on Malware Classifiers
2024
Cited
0
ML-Based Behavioral Malware Detection Is Far From a Solved Problem
2024
Cited
1
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
arXiv.org · 2024
Cited
1
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Resume (English only)
Co-authors
20 total
Lorenzo Cavallaro
University College London
Co-author 2
Co-author 3
Daniel Arp
Technische Universität Wien
Co-author 5
Co-author 6
Co-author 7
Erwin Quiring
Ruhr University Bochum
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