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
Publications
10 items
REPLICANT: Learning Policies for Evading and Hardening Malware Detectors
2026
Cited
0
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
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Co-authors
13 total
Lorenzo Cavallaro
University College London
Daniel Arp
Technische Universität Wien
Erwin Quiring
Ruhr University Bochum
Konrad Rieck
Technische Universität Berlin
Christian Wressnegger
Karlsruhe Institute of Technology (KIT)
Alexander Warnecke
TU Berlin
Giovanni Apruzzese
Assistant Professor, University of Liechtenstein
V.S. Subrahmanian
Department of Computer Science & ISTS, Dartmouth College
