Mauricio Byrd Victorica
Scholar

Mauricio Byrd Victorica

Google Scholar ID: Rd2f2qcAAAAJ
Doctoral Student
adversarial machine learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
7
 
H-index
1
 
i10-index
0
 
Publications
3
 
Co-authors
0
 
Contact
Emailmbv@kth.se
Publications
1 items
SpaNN: Detecting Multiple Adversarial Patches on CNNs by Spanning Saliency Thresholds
2025
Cited
0
Resume
Academic Achievements
  • No specific academic achievements provided.
Research Experience
  • Doctoral student working at KTH's Division of Network and Systems Engineering, with a focus on Adversarial Machine Learning and Computer Vision.
Education
  • Completed the Master's of Science in Machine Learning at KTH in 2022, and the Bachelor's in Telecommunications, Systems, and Electronic Engineering at the National Autonomous University of Mexico (UNAM) in 2020.
Background
  • Pursuing a PhD in Computer Science at KTH's Division of Network and Systems Engineering, focusing on trustworthy machine learning for cyber-physical systems. His research centers around adversarial attacks and defenses for deep learning vision models, especially in scenarios relevant to autonomous cyber-physical systems.
Miscellany
  • No personal interests or hobbies provided.