TY - JOUR
T1 - Backdoors against natural language processing
T2 - a review
AU - Li, Shaofeng
AU - Dong, Tian
AU - Zhao, Benjamin Zi Hao
AU - Xue, Minhui
AU - Du, Suguo
AU - Zhu, Haojin
PY - 2022
Y1 - 2022
N2 - Data poisoning attacks, specifically backdoor attacks, present a severe security threat in artificial intelligence. We provide a comprehensive survey into state-of-the-art backdoor attacks and defenses in the field of natural language processing.
AB - Data poisoning attacks, specifically backdoor attacks, present a severe security threat in artificial intelligence. We provide a comprehensive survey into state-of-the-art backdoor attacks and defenses in the field of natural language processing.
UR - http://www.scopus.com/inward/record.url?scp=85135756775&partnerID=8YFLogxK
UR - http://purl.org/au-research/grants/arc/DP210102670
U2 - 10.1109/MSEC.2022.3181001
DO - 10.1109/MSEC.2022.3181001
M3 - Review article
AN - SCOPUS:85135756775
SN - 1540-7993
VL - 20
SP - 50
EP - 59
JO - IEEE Security and Privacy
JF - IEEE Security and Privacy
IS - 5
ER -