← Search

Wenhe Liu

2 accepted papers

2024

Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization

NeurIPS 2024poster

Recent research indicates that large language models (LLMs) are susceptible to jailbreaking attacks that can generate harmful content. This paper introduces a novel token-level attack method, Adaptive Dense-to-Sparse Constrained Optimization (ADC), which has been shown to successfully jailbreak mult…

2022

Rethinking Zero-Shot Action Recognition: Learning from Latent Atomic Actions

ECCV 2022poster

"To avoid the time-consuming annotating and retraining cycle in applying supervised action recognition models, Zero-Shot Action Recognition (ZSAR) has become a thriving direction. ZSAR requires models to recognize actions that never appear in the training set through bridging visual features and sem…