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PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts

PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts

7 June 2023
Xiangjue Dong
Yun He
Ziwei Zhu
James Caverlee
    AAML
ArXivPDFHTML

Papers citing "PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts"

5 / 5 papers shown
Title
Phrase-level Textual Adversarial Attack with Label Preservation
Phrase-level Textual Adversarial Attack with Label Preservation
Yibin Lei
Yu Cao
Dianqi Li
Tianyi Zhou
Meng Fang
Mykola Pechenizkiy
AAML
35
24
0
22 May 2022
A Prompting-based Approach for Adversarial Example Generation and
  Robustness Enhancement
A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement
Yuting Yang
Pei Huang
Juan Cao
Jintao Li
Yun Lin
J. Dong
Feifei Ma
Jian Zhang
AAML
SILM
38
13
0
21 Mar 2022
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
3,844
0
18 Apr 2021
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
B. Wen
Qian Wang
AAML
71
473
0
02 Feb 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,918
0
31 Dec 2020
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