Exploring the Universal Vulnerability of Prompt-based Learning Paradigm

Exploring the Universal Vulnerability of Prompt-based Learning Paradigm

11 April 2022

Hongcheng Gao

Zhiyuan Liu

Papers citing "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm"

10 / 10 papers shown

Title
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models Kai Mei Zheng Li Zhenting Wang Yang Zhang Shiqing Ma AAML SILM 34 48 0 28 May 2023
Revisiting Automated Prompting: Are We Actually Doing Better? Yulin Zhou Yiren Zhao Ilia Shumailov Robert D. Mullins Y. Gal 21 8 0 07 Apr 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 44 21 0 19 Feb 2023
PromptAttack: Prompt-based Attack for Language Models via Gradient Search Yundi Shi Piji Li Changchun Yin Zhaoyang Han Lu Zhou Zhe Liu AAML SILM 24 18 0 05 Sep 2022
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer Fanchao Qi Yangyi Chen Xurui Zhang Mukai Li Zhiyuan Liu Maosong Sun AAML SILM 82 175 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 1,918 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,588 0 21 Jan 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 415 2,586 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 6,956 0 20 Apr 2018