Alejandro Mosquera is a Computer Scientist and online safety expert 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
| Alejandro Mosquera, Elena Lloret, and Paloma Moreda. Towards facilitating the accessibility of Web 2.0 texts through text normalisation. In Proceedings of the LREC workshop: Natural Language Processing for Improving Textual Accessibility (NLP4ITA) ; Istanbul, Turkey., pages 9--14, 2012. [ bib ] [ pdf ] |
| Alejandro Mosquera and Paloma Moreda. SMILE: An informality classification tool for helping to assess quality and credibility in Web 2.0 texts. In Proceedings of the ICWSM workshop: Real-Time Analysis and Mining of Social Streams (RAMSS), 2012. [ bib ] [ pdf ] |
| Alejandro Mosquera and Paloma Moreda. TENOR: A lexical normalisation tool for Spanish Web 2.0 texts. In Text, Speech and Dialogue - 15th International Conference (TSD 2012). Springer, 2012. [ bib ] |
| Estela Saquete, Sonia Vázquez, Elena Lloret, Fernando Llopis, J. M. Gómez-Soriano, and Alejandro Mosquera. Improving reading comprehension of educational texts by simplification of language barriers. In Proceedings of the 5th International Conference on Education and New Learning Technologies (EduLearn 2013), 2013. [ bib ] |
| Lamine Aouad, Alejandro Mosquera, Slawomir Grzonkowski, and Dylan Morss. SMS spam: A holistic view. In In Proceedings of SECRYPT 2014 - The International Conference on Security and Cryptography, 2014. [ bib ] |
| Slawomir Grzonkowski, Alejandro Mosquera, Lamine Aouad, and Dylan Morss. Smartphone security: An overview of emerging threats. Consumer Electronics Magazine, IEEE , vol.3, no.4, October 2014, 2014. [ bib ] |
| Alejandro Mosquera, Lamine Aouad, Slawomir Grzonkowski, and Dylan Morss. On detecting messaging abuse in short text messages using linguistic and behavioral patterns. http://arxiv.org/pdf/1408.3934v1, 2014. [ bib ] [ pdf ] |
| Ryan R Curtin, Andrew B Gardner, Slawomir Grzonkowski, Alexey Kleymenov, and Alejandro Mosquera. Detecting DGA domains with recurrent neural networks and side information. In Proceedings of the 14th international conference on availability, reliability and security, pages 1--10, 2019. [ bib ] [ pdf ] |
| Alejandro Mosquera. Amsqr at SemEval-2020 task 12: Offensive language detection using neural networks and anti-adversarial features. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 1898--1905, 2020. [ bib ] [ pdf ] |
| Alejandro Mosquera. Alejandro Mosquera at SemEval-2021 task 1: Exploring sentence and word features for lexical complexity prediction. In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), pages 554--559, 2021. [ bib ] [ pdf ] |
| Alejandro Mosquera López. Alejandro Mosquera at DETOXIS 2021: Deep learning approaches to toxicity detection in Spanish social media texts. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021), XXXVII International Conference, volume 2943, pages 573--579. CEUR-WS.org, 2021. [ bib ] [ pdf ] |
| Alejandro Mosquera. Amsqr at MLSEC-2021: Thwarting adversarial malware evasion with a defense-in-depth, 2021. [ bib ] [ pdf ] |
| Alejandro Mosquera. Amsqr at SemEval-2022 task 4: Towards AutoNLP via meta-learning and adversarial data augmentation for PCL detection. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), 2022. [ bib ] [ pdf ] |
| Alejandro Mosquera. Alejandro Mosquera at politices 2022: Towards robust spanish author profiling and lessons learned from adversarial attacks. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), XXXVIII International Conference, 2022. [ bib ] [ pdf ] |
| Alejandro Mosquera. Tackling data drift with adversarial validation: An application for German text complexity estimation. In Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), 2022. [ bib ] [ pdf ] |
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:
