Luca Pajola
Scholar

Luca Pajola

Google Scholar ID: Dfi0IkgAAAAJ
PhD position in Brain, Mind and Computer Science - University Of Padova
Machine LearningNLPSecurityAdversarial Machine Learning
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Citations & Impact
All-time
Citations
1,008
 
H-index
13
 
i10-index
14
 
Publications
20
 
Co-authors
3
list available
Contact
No contact links provided.
Publications
9 items
From Beats to Breaches:How Offensive AI Infers Sensitive User Information from Playlists
2026
Cited
0
E-PhishGen: Unlocking Novel Research in Phishing Email Detection
2025
Cited
0
FD4QC: Application of Classical and Quantum-Hybrid Machine Learning for Financial Fraud Detection A Technical Report
2025
Cited
0
The Hidden Threat in Plain Text: Attacking RAG Data Loaders
2025
Cited
0
DUMB and DUMBer: Is Adversarial Training Worth It in the Real World?
2025
Cited
0
Exploiting AI for Attacks: On the Interplay between Adversarial AI and Offensive AI
2025
Cited
0
Moshi Moshi? A Model Selection Hijacking Adversarial Attack
2025
Cited
0
Elephant in the Room: Dissecting and Reflecting on the Evolution of Online Social Network Research
International Conference on Web and Social Media · 2024
Cited
0
Resume (English only)
Co-authors
3 total
Mauro Conti
Mauro Conti
IEEE Fellow - Prof.@University of Padua - Wallenberg WASP Guest.Prof.@Örebro U.- Affiliate Prof.@UW
Pier Paolo Tricomi
Pier Paolo Tricomi
University of Padua
Giovanni Apruzzese
Giovanni Apruzzese
Assistant Professor, University of Liechtenstein