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LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors
26 August 2023
Chengkun Wei
Wenlong Meng
Zhikun Zhang
M. Chen
Ming-Hui Zhao
Wenjing Fang
Lei Wang
Zihui Zhang
Wenzhi Chen
AAML
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Papers citing
"LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors"
5 / 5 papers shown
Title
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
238
806
0
14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,848
0
18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,919
0
31 Dec 2020
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
415
2,588
0
03 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
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