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A Prompting-based Approach for Adversarial Example Generation and
  Robustness Enhancement

A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement

21 March 2022
Yuting Yang
Pei Huang
Juan Cao
Jintao Li
Yun Lin
J. Dong
Feifei Ma
Jian Zhang
    AAML
    SILM
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Papers citing "A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement"

4 / 4 papers shown
Title
ADAPT to Robustify Prompt Tuning Vision Transformers
ADAPT to Robustify Prompt Tuning Vision Transformers
Masih Eskandar
Tooba Imtiaz
Zifeng Wang
Jennifer Dy
VPVLM
VLM
AAML
27
0
0
19 Mar 2024
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
248
1,382
0
21 Jan 2020
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
228
909
0
21 Apr 2018
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