Sometimes I blog. You can also find me participating in competitive Machine Learning challenges during my spare time.
- 2026 - 🏆2nd place (out of 81 teams) at SemEval-2026 Task 13 Subtask-A: Detecting AI-generated code in OOD settings
- 2025 - 8th/221 at Trojan Horse Hunt in Time Series Forecasting: Part of the Secure Your AI series of competitions by the European Space Agency
- 2024 - 🥇1st place at Personality Profiling Task: WASSA 2024 Shared Task on Empathy and Personality Detection
- 2024 - 🏆3rd place (out of 50 teams) at SemEval-2024 Task 6: SHROOM - a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes
- 2023 - 🥇1st place at CSCML CTF: The International Symposium on Cyber Security, Cryptology and Machine Learning
- 2023 - 19th place (out of 2681 teams) at HackAPrompt (AICrowd, FlanT5-XXL only): A prompt hacking competition to outsmart LLMs and evade prompt injection defenses
- 2023 - Top 10% at Stable Diffusion - Image to Prompts (Kaggle): Evaluating Prompt Stealing Attacks Against Text-to-Image Generation Models
- 2023 - 15th place (out of 84 teams) at SemEval-2023 Task 10: Pretrained Models with Adversarial Training for Online Sexism Detection (EDOS)
- 2022 - 11th/18 (MNTD baseline beaten by 43% higher AUC) at Trojan Detection Challenge @ NeurIPS 2022
- 2022 - 56th place / 2nd best score (out of 676 teams) at AI Village CTF @ DEFCON 30
- 2022 - 🥇1st place (out of 10 teams) at KONVENS-2022 Task 1: Tackling Data Drift with Adversarial Validation: An Application for German Text Complexity Estimation
- 2022 - 🏆3rd place (out of 20 teams) at IberLEF-2022: Towards Robust Spanish Author Profiling and Lessons Learned from Adversarial Attacks
- 2021 - 🏆2nd place (in both defender and attacker tracks) at MLSEC-2021: Thwarting Adversarial Malware Evasion with a Defense-in-Depth
- 2021 - 6th place (out of 31 teams) at IberLEF-2021 Task 1: Deep Learning Approaches to Toxicity Detection in Spanish Social Media Texts
- 2021 - Granted USPTO anti-ransomware patent: Detecting and protecting against computing breaches based on lateral movement of a computer file within an enterprise
- 2021 - 🏆3rd place (out of 48 teams) at SemEval-2021 Task 1: Exploring Sentence and Word Features for Lexical Complexity Prediction
- 2020 - 45th place (out of 6351 teams) at Kaggle IEEE-CIS Fraud Detection
- 2020 - 10th place (out of 82 teams) at SemEval-2020 Task 12: Offensive Language Detection Using Neural Networks and Anti-adversarial Features
- 2023 - Recognized as a Webometrics ambassador: A ranking of Spanish researchers working abroad according to their Google Scholar Citations public profiles
- 2021 - 🏆Winner interview for the 3rd Machine Learning Security Evasion Competition (MLSEC) sponsored by CUJO AI, Microsoft, VM-Ray, MRG Effitas and NVIDIA. As a 2x prize winner I had the opportunity to publish my findings about the Adversarial Threat Landscape for Artificial-Intelligence Systems
- 2016 - 🏆Kaggle Winner's interview for a 3rd place at Allen AI. I was also interviewed by Cade Metz for the Wired magazine and mentioned in the Allen AI final report: Moving Beyond the Turing Test with the Allen AI Science Challenge
- 2014 - Coverage of our work defending SMS networks while working at Symantec: Security rEsrchRs find nu way 2 spot TXT spam