Elias Abad Rocamora
Scholar

Elias Abad Rocamora

Google Scholar ID: lHfp1OAAAAAJ
EPFL
Deep LearningRobustness VerificationAdversarial Robustness in NLP
Citations & Impact
All-time
Citations
70
 
H-index
5
 
i10-index
3
 
Publications
9
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Paper: Robustness in Both Domains: CLIP Needs a Robust Text Encoder, NeurIPS 2025
  • Paper: Certified Robustness Under Bounded Levenshtein Distance, ICLR 2025
  • Paper: Membership Inference Attacks against Large Vision-Language Models, NeurIPS 2024
  • Paper: Revisiting Character-level Adversarial Attacks for Language Models, ICML 2024
  • Paper: Efficient Local Linearity Regularization to Overcome Catastrophic Overfitting, ICLR 2024
  • Paper: Sound and Complete Verification of Polynomial Networks, NeurIPS 2022
  • Talk: Revisiting Character-level Adversarial Attacks for Language Models, La Salle University (Barcelona), DLBCN 2024
Research Experience
  • Currently a PhD student at EPFL and a Student Researcher at an institution.
Background
  • Research interests include robustness in Natural Language Processing, specifically Adversarial Attacks, Adversarial Training, and Neural Network Verification methods.