معرفی
Yiyi Chen is a Research Fellow at the Department of Computer Science, Aalborg University, within The Technical Faculty of IT and Design. Specializing in Natural Language Processing (NLP), their work focuses on language model security, multilingual modeling, and computational linguistics. They hold a Master’s in Computational Linguistics and a Bachelor’s in Computer Science from Ludwig Maximilian University of Munich. Chen has contributed to projects like the Carlsberg Foundation-funded 'Multilingual Modelling for Resource-Poor Languages,' exploring marginalized languages through transfer learning and multitask benchmarks such as CreoleVal.
Research interests include adversarial attacks on text embeddings, security metrics for large language models (LLMs), and linguistic typology. Notable achievements include the 2024 EliteForsk Research Travel Grant and conference participations like ACL 2024. Their work bridges ethical AI concerns with technical innovations, addressing vulnerabilities in multilingual systems and proposing solutions for memorization and inversion attacks.
- Education:
- Master’s in Computational Linguistics, LMU Munich (2018-2020)
- Bachelor’s in Computer Science, LMU Munich (2015-2018)
Publications span embedding inversion security, cross-lingual attacks (e.g., LAGO framework), and typological analysis. Collaborations include Macquarie University visits and contributions to ACL and TACL journals. Current projects emphasize multilingual model robustness and ethical NLP practices.
