PhD student, Michigan State University
3 papers at NeurIPS 2025
We introduce the "Deadlock Attack," which uses an adversarial embedding to force LLMs into perpetual thinking loops, leading to resource exhaustion.
We introduce a long-context stress test revealing that existing saliency methods fail under scale, and propose ABO—a simple, causal, and robust alternative based on attention bias optimization.
