Halima Bouzidi

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Hi! I’m Halima 👋

🔬 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 a Machine Learning and Security researcher focused on developing AI systems that are secure, efficient, and aligned with real-world demands. I work on adversarial security tools and trustworthy AI methods for auditing and strengthening the robustness of ML systems, ensuring they behave safely and reliably in practical deployment. My expertise spans Secure and Trustworthy AI, Adversarial Machine Learning, and Efficient AI deployment.

My research lives at the exciting intersection of:

  • 🛡️ Secure Machine Learning: Adversarial Attacks and Defenses, Robustness Evaluation, Red-teaming of ML Systems, AI for Security.
  • 🤖 Efficient Machine Learning: Hardware-aware Neural Architecture Search (NAS), Deep Neural Networks, Edge AI, Energy-efficiency.
  • 🎯 Hardware-Software Co-Design: Sensor-ML Co-design for Security, Hardware-Software Co-design for Efficiency, Multi-objective Optimization.

news

Mar 20, 2026 ✅🧬 Our paper “Sonata: Self-adaptive evolutionary framework for hardware-aware neural architecture search” has been accepted to GECCO 2026, a top-tier conference in evolutionary computation! See you in San Jose
Feb 20, 2026 ✅🎯 Our paper “Out of Sight, Out of Track: Adversarial Attacks on Propagation-based Multi-Object Trackers via Query State Manipulation” has been accepted to CVPR 2026, a top-tier conference in computer vision! See you in Denver
Jan 25, 2026 ✅👾 Excited to join the SPAR (Supervised Program for Alignment Research) Program on AI Risks, where I’ll be investigating the robustness of Persistent Multi-agent Memory Systems!
Nov 24, 2025 ✅🔐 Our paper “Adversarially Evasive Hardware Trojans via Approximate Designs” has been accepted to the Asian Hardware Oriented Security and Trust Symposium (AsianHOST 2025)!
Oct 10, 2025 ✈️ Pleased to receive the WiML 2025 travel funding to present my research at WiML workshop @ NeurIPS!