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Zichu Wu

2 accepted papers

2024

Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization

NeurIPS 2024poster

Despite the abundance of datasets available for assessing large language models (LLMs), the scarcity of continuous and reliable difficulty labels for individual data points, in most cases, curtails their capacity to benchmark model generalization performance across different levels of complexity. Ad…

Cited by 0SourcePDFScholar
2024

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models

NeurIPS 2024poster

Vision-Language Models (VLMs) excel in generating textual responses from visual inputs, but their versatility raises security concerns. This study takes the first step in exposing VLMs’ susceptibility to data poisoning attacks that can manipulate responses to innocuous, everyday prompts. We introduc…