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

21 March 2022

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

9 / 9 papers shown

Title
ADAPT to Robustify Prompt Tuning Vision Transformers Masih Eskandar Tooba Imtiaz Zifeng Wang Jennifer Dy VPVLM VLM AAML 60 0 0 19 Mar 2024
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 164 4,209 0 01 Jan 2021
GSum: A General Framework for Guided Neural Abstractive Summarization Zi-Yi Dou Pengfei Liu Hiroaki Hayashi Zhengbao Jiang Graham Neubig 39 258 0 15 Oct 2020
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples Maximilian Mozes Pontus Stenetorp Bennett Kleinberg Lewis D. Griffin AAML 101 99 0 13 Apr 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 300 1,606 0 21 Jan 2020
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment Di Jin Zhijing Jin Qiufeng Wang Peter Szolovits SILM AAML 113 1,064 0 27 Jul 2019
Combating Adversarial Misspellings with Robust Word Recognition Danish Pruthi Bhuwan Dhingra Zachary Chase Lipton 112 304 0 27 May 2019
On Adversarial Examples for Character-Level Neural Machine Translation J. Ebrahimi Daniel Lowd Dejing Dou AAML 57 218 0 23 Jun 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 359 921 0 21 Apr 2018