Anthony Etim is a fifth year Ph.D. student at Computer Architecture and Security Lab, Yale University. His research interests lie in machine learning security and hardware security, as well as attacks and defenses in machine learning accelerators and algorithms to exploit vulnerabilities and leak sensitive information.
PhD in Electrical Engineering, 2027 (Expected)
Yale University
MSc, MPhil in Electrical Engineering, 2024
Yale University
BSc in Electrical Engineering, 2021
Villanova University
Designed domain-specific and adversarial evaluations for frontier LLMs; performed failure-mode analyses and delivered recommendations adopted in model updates.
Oversaw end-to-end training and fine-tuning of a code-reasoning LLM; developed C++/Python solutions for top-3% Olympiad problems, applied LoRA/PEFT to enhance chain-of-thought, and benchmarked Olympiad-level reasoning to surface failure modes that informed architecture improvements.
Research Asistant:
Teaching Asistant: