Ying Chen

The paper introduces PIArena, a unified and extensible platform designed to address the lack of standardized evaluation for prompt injection, revealing critical limitations in current state-of-the-art defenses.

The paper introduces FlashRT, a novel framework that significantly improves the computational and memory efficiency of optimization-based red-teaming attacks against long-context LLMs, enabling systematic security evaluation at scale.

The paper introduces a novel paradigm where a fine-tuned LLM acts as an ancillary predictor to forecast likely advertisers, significantly improving ad recommendation systems by augmenting candidate generation and providing priors for downstream ranking.

The paper proposes a novel geometric embedding hashing method to recover object correspondences (vector links) between two embedding clouds generated by different black-box encoders using only a small set of paired anchors.