Halima Bouzidi

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Hi! I’m Halima Bouzidi 👋
🔬 Postdoctoral Scholar at the Embedded & Cyber-Physical Systems (AICPS) Lab at UCI
🌟 Previously: Research Fellow in Trustworthy AI at Queen’s University of Belfast, UK
🚀 Research Focus
I’m passionate about developing secure, efficient, and aligned AI systems that are both powerful and safe for real-world deployment. My work focuses on creating adversarial security tools and trustworthy AI solutions that ensure AI systems behave reliably and efficiently. My expertise spans Secure and Trustworthy AI, AI Safety, Adversarial Machine Learning, and Edge AI deployment.
My research lives at the exciting intersection of:
- 🛡️ Secure Machine Learning: Adversarial ML, Robustness evaluation, Physical adversarial attacks, Red-teaming of AI systems.
- 🤖 Efficient Machine Learning: Hardware-aware Neural Architecture Search (NAS), Graph neural networks, Edge AI, Energy-efficiency.
- 🎯 Hardware-Software Co-Design: Multi-objective optimization, Sensor-ML co-design for security, Resource-constrained intelligent systems.
news
Oct 10, 2025 | ✈️ Pleased to receive the WiML 2025 travel funding to present my research at WiML workshop @ NeurIPS! |
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Oct 08, 2025 | 🐭🔊 Tech Press Alert: The Register breaks down our latest Mic-E-Mouse research. Check the full article Here |
Sep 30, 2025 | 🔗 Excited to Serve on the Program Committee for the ACM Conference on Computer and Communications Security (CCS 2026)! |
Sep 29, 2025 | ✅🙈 Our paper “See No Evil: Adversarial Attacks Against Linguistic-Visual Association in Referring Multi-Object Tracking Systems” has been accepted to the Reliable ML from Unreliable Data workshop @ NeurIPS 2025 ArXiv. See you in San Diego! |
Sep 23, 2025 | 🔗 Serving on the Program Committee for the International Conference on Learning Representations (ICLR 2026)! |