Scholar
Ian G. Harris
Google Scholar ID: NpcLBDsAAAAJ
University of California Irvine
Citations & Impact
Citations
971
H-index
16
i10-index
22
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- J. Xu, Y. Luo, and I. G. Harris, 'Efficient Digital Signature Security Enhancement for Remote Keyless Entry System', International Conference on Dependable, Autonomic and Secure Computing (DASC), October 2025.
- Z. Yang and I. G. Harris, 'LogLLaMA: Transformer-based log anomaly detection with LLaMA', International Joint Conference on Neural Networks, June 2025.
- S. Hashemitaheri and I. G. Harris, 'Enhancing Non-English Conversational Agents Using Synthetic Data Generation', Workshop on Generative AI for Smart and Connected Health (GenAI4SCH), June 2025.
- S. Rahman and I. G. Harris, 'Summary the Savior: Harmful Keyword and Query-based Summarization for LLM Jailbreak Defense', Workshop on Trustworthy NLP (TrustNLP 2025), May 2025.
- T. Giyahchi, C. Pechmann and I. Harris, 'Empathetic Reflective Response Generation: Towards Conversation Models for Online Mental Health Support', International Conference on Machine Learning and Applications (ICMLA), December 2024.
- J. Xu, D. Abraham and I. G. Harris, 'Run-Time ROP Attack Detection on Embedded Devices Using Side Channel Power Analysis', IEEE Embedded Systems Letters, December 2024.
- J. Zhao, Y. Song, S. Liu, I. G. Harris, and S. A. Jyothi, 'LinguaLinked: Distributed large language model inference on mobile devices', Annual Meeting of the Association for Computational Linguistics (ACL), August 2024.
- J. Kim, A. Derakhshan and I. G. Harris, 'Robust safety classifier against jailbreaking attacks: Adversarial prompt shield', Workshop on Online Abuse and Harms (WOAH), June 2024.
- D. Yao, J. Zhang, I. G. Harris, and M. Carlsson, 'Fuzzllm: A novel and universal fuzzing framework for proactively discovering jailbreak vulnerabilities in large language models', IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2024.
Research Experience
- Research experience in embedded system security, distributed inference and training of large language models (LLMs), security of LLMs, and hate and toxic speech mitigation.
Education
- BS in Computer Science from Massachusetts Institute of Technology; MS and PhD in Computer Science from the University of California San Diego.
Background
- Professor in the Computer Science Department at the University of California, Irvine. Research interests include natural language processing and hardware security.
Miscellany
- Teaches online courses through Coursera, including An Introduction to Programming the Internet of Things (IOT) Specialization and Programming with Google Go Specialization.
Co-authors