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Shortcuts Arising from Contrast: Effective and Covert Clean-Label Attacks in Prompt-Based Learning

Shortcuts Arising from Contrast: Effective and Covert Clean-Label Attacks in Prompt-Based Learning

Xiaopeng Xie
Ming Yan
Xiwen Zhou
Chenlong Zhao
Suli Wang
Yong Zhang
Joey Tianyi Zhou
    AAML
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Papers citing "Shortcuts Arising from Contrast: Effective and Covert Clean-Label Attacks in Prompt-Based Learning"

5 / 5 papers shown
Title
PoisonPrompt: Backdoor Attack on Prompt-based Large Language Models
PoisonPrompt: Backdoor Attack on Prompt-based Large Language Models
Hongwei Yao
Jian Lou
Zhan Qin
SILM
AAML
49
30
0
19 Oct 2023
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
Shuai Zhao
Jinming Wen
Anh Tuan Luu
J. Zhao
Jie Fu
SILM
57
89
0
02 May 2023
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval
Luyu Gao
Jamie Callan
RALM
152
329
0
12 Aug 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,835
0
18 Apr 2021
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
406
2,576
0
03 Sep 2019