Luis Ibanez-Lissen
Scholar

Luis Ibanez-Lissen

Google Scholar ID: rZlmDnEAAAAJ
Universidad Carlos III, INRIA paris
AI SafetyAI securityCybersecurityDeep LearningLLMs
Citations & Impact
All-time
Citations
22
 
H-index
3
 
i10-index
0
 
Publications
12
 
Co-authors
11
list available
Publications
12 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Vulcanus EU-Japan Grant (Acceptance rate <1%)
  • MARS 2.0 AI safety program Research mentee at Cambridge University
  • SPAR safety program Research mentee collaborating with FAR.AI
  • Keynote Speaker at T3chfest 2024 (900+ proposals)
  • Google TensorFlow Certified Developer
  • Winner of national ML hackathon by Telefonica 2022
  • Research Publications: Large language models can learn and generalize steganographic chain-of-thought under process supervision - NEURIPS 25, LUMIA: Linear probing for Unimodal and MultiModal Membership Inference Attacks leveraging internal LLM states - ESORICS 25, LPASS: Linear Probes as Stepping Stones for vulnerability detection using compressed LLMs - Journal of Information Security and Applications, Continuous Authentication Leveraging Matrix Profile - Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024, Use of transfer learning for affordable in-context fake review generation - IEEE Transactions on Big Data, 2024, Characterizing poisoning attacks on generalistic multi-modal AI models - Information Fusion, 2023, On the Feasibility of Predicting Volumes of Fake News—The Spanish Case - IEEE Transactions on Computational Social Systems; 2023
Education
  • PhD Candidate - Universidad Carlos III de Madrid (Advisor information not provided)
Background
  • As a PhD candidate at Universidad Carlos III de Madrid, my research intersects cybersecurity and artificial intelligence. I've collaborated with institutions like INRIA Paris, Cambridge University or FAR.AI, focusing on privacy-preserving continuous authentication, AI safety and Jailbreaks on Frontier Models.
Miscellany
  • Work for several brands creating social media content and developing products related to longboarding.