7 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 1 cited
Adversarial Attacks on ML Defense Models Competition
Yinpeng Dong, Qi-An Fu, Xiao Yang +25
Due to the vulnerability of deep neural networks (DNNs) to adversarial examples, a large number of defense techniques have been proposed to alleviate this problem in recent years.…
cs.AI2021★ 7 cited
Leveraging Domain Agnostic and Specific Knowledge for Acronym Disambiguation
Qiwei Zhong, Guanxiong Zeng, Danqing Zhu +4
An obstacle to scientific document understanding is the extensive use of acronyms which are shortened forms of long technical phrases. Acronym disambiguation aims to find the corre…
cs.CL2021★ 2 cited
AT-BERT: Adversarial Training BERT for Acronym Identification Winning Solution for SDU@AAAI-21
Danqing Zhu, Wangli Lin, Yang Zhang +4
Acronym identification focuses on finding the acronyms and the phrases that have been abbreviated, which is crucial for scientific document understanding tasks. However, the limite…