Search Results for author: ZhenZhe Ying

Found 2 papers, 2 papers with code

A2: Efficient Automated Attacker for Boosting Adversarial Training

1 code implementation7 Oct 2022 Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, ZhenZhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang

In this paper, we propose an efficient automated attacker called A2 to boost AT by generating the optimal perturbations on-the-fly during training.

Adversarial Defense

MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees

1 code implementation17 Jan 2022 ZhenZhe Ying, Zhuoer Xu, Zhifeng Li, Weiqiang Wang, Changhua Meng

Despite the success of deep learning in computer vision and natural language processing, Gradient Boosted Decision Tree (GBDT) is yet one of the most powerful tools for applications with tabular data such as e-commerce and FinTech.

Multi-Task Learning

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