Francesco Panebianco
Scholar

Francesco Panebianco

Google Scholar ID: geSy28kAAAAJ
Politecnico di Milano
Information SecuritySoftware SecurityArtificial IntelligenceLarge Language Models
Citations & Impact
All-time
Citations
3
 
H-index
1
 
i10-index
0
 
Publications
5
 
Co-authors
0
 
Publications
4 items
Resume (English only)
Research Experience
  • Has been a Ph.D. student since May 2024.
Education
  • Earned his B.Sc. in Computer Science Engineering at Politecnico di Milano in 2021; graduated cum laude with an M.Sc. in Computer Science Engineering from the same university in 2024. His master's thesis, supervised by Professor Michele Carminati, focused on adversarial examples in computer vision classifiers.
Background
  • Research interests: security of artificial intelligence and the use of artificial intelligence for security. His work specifically targets large language models, adversarial attacks, and backdooring.
Co-authors
0 total
Co-authors: 0 (list not available)