15 citations · 21 across the 9 of their papers we have counts for
9 papers
Binaural Selective Attention Model for Target Speaker Extraction
Hanyu Meng, Qiquan Zhang, Xiangyu Zhang +2
The remarkable ability of humans to selectively focus on a target speaker in cocktail party scenarios is facilitated by binaural audio processing. In this paper, we present a binau…
RL-JACK: Reinforcement Learning-powered Black-box Jailbreaking Attack against LLMs
Xuan Chen, Yuzhou Nie, Lu Yan +3
Modern large language model (LLM) developers typically conduct a safety alignment to prevent an LLM from generating unethical or harmful content. Recent studies have discovered tha…
CodeScore-R: An Automated Robustness Metric for Assessing the FunctionalCorrectness of Code Synthesis
Guang Yang, Yu Zhou, Xiang Chen +1
Evaluation metrics are crucial in the field of code synthesis. Commonly used code evaluation metrics canbe classified into three types: match-based, semantic-based, and execution-b…
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks
Zhiyuan Cheng, Cheng Han, James Liang +3
Monocular Depth Estimation (MDE) plays a vital role in applications such as autonomous driving. However, various attacks target MDE models, with physical attacks posing significant…
Opening A Pandora's Box: Things You Should Know in the Era of Custom GPTs
Guanhong Tao, Siyuan Cheng, Zhuo Zhang +3
The emergence of large language models (LLMs) has significantly accelerated the development of a wide range of applications across various fields. There is a growing trend in the c…
Cold & Warm Net: Addressing Cold-Start Users in Recommender Systems
Xiangyu Zhang, Zongqiang Kuang, Zehao Zhang +2
Cold-start recommendation is one of the major challenges faced by recommender systems (RS). Herein, we focus on the user cold-start problem. Recently, methods utilizing side inform…