Online safety expert and computer scientist at Broadcom developing systems and methods for automatic Threat Hunting: malicious network traffic analysis, malware analysis, unknown threat categorization, messaging abuse filters, APT detection and attack chain inference based on Machine Learning.
I enjoy developing software with great colleagues, and I've been fortunate to have worked with many wonderful and talented people. As a researcher, my job usually involves:
Other research areas of interest are Natural Language Processing, procedural generation and Trustworthy AI.
In particular:Lover of coffee, Earl Grey and Lego (in alphabetical order). Sometimes I blog. You can also find me participating in competitive Machine Learning challenges during my spare time.
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
2014 - 5th Workshop on Language Analysis for Social Media (LASM), Sweden: Mining Lexical Variants from Microblogs: An Unsupervised Multilingual Approach
2013 - Conference and Labs of the Evaluation Forum (CLEF), Spain: DLSI-Volvam at RepLab 2013: Polarity Classification on Twitter Data
2013 - Tweet Normalization Workshop co-located with 29th Conference of the Spanish Society for Natural Language Processing (SEPLN), Spain: DLSI en Tweet-Norm 2013: Normalización de Tweets en Español
2012 - TSD: Text, Speech and Dialogue, Czech Republic: TENOR: A Lexical Normalisation Tool for Spanish Web 2.0 Texts
2012 - NLDB: Natural Language Processing and Information Systems, Holland: The Study of Informality as a Framework for Evaluating the Normalisation of Web 2.0 Texts
2012 - Real-Time Analysis and Mining of Social Media Streams (RAMSS), Ireland: SMILE: An Informality Classification Tool for Helping to Assess Quality and Credibility in Web 2.0 Texts
2012 - Natural Language Processing for Improving Textual Accessibility (NLP4ITA), Turkey: Towards Facilitating the Accessibility of Web 2.0 Texts through Text Normalisation
2012 - @NLP can u tag #user_generated_content? (NLP4UGC), Turkey: A Qualitative Analysis of Informality Levels In Web 2.0 Texts: The Facebook Case Study
2011 - Symposium in Information and Human Language Technology (STIL), Brazil: The Use of Metrics for Measuring Informality Levels in Web 2.0 Texts
2011 - 3rd Language Technology Conference (LTC), Poland: Enhancing the Discovery of Informality Levels in Web 2.0 texts
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
JS1k submission using L-systems.
Chromanin.js a procedural texture generation library
Procedural audio using L-systems based on Ville-Matias Heikkilä (2011). Discovering novel computer music techniques by exploring the space of short computer programs.
SuperShapes, SuperFormula based on Johan Gielis (2003). A generic geometric transformation that unifies a wide range of natural and abstract shapes.
My social accounts are linked below:
