Eric He

8 papers 2001–2025

Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection

Adversarial attacks on stochastic bandits have traditionally relied on some unrealistic assumptions, such as per-round reward manipulation and unbounded perturbations, limiting their relevance to...

2025-05

Embedding the Teacher: Distilling vLLM Preferences for Scalable Image Retrieval

Text--image retrieval is necessary for applications such as product recommendation. Embedding-based approaches like CLIP enable efficient large-scale retrieval via vector similarity search, but...

2025-10