Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous
Dimensions in Pre-trained Language Models Caused by Backdoor or Bias

Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias

8 May 2023

Jie Zhou

Papers citing "Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias"

8 / 8 papers shown

Title
Fairness in Large Language Models: A Taxonomic Survey Zhibo Chu Zichong Wang Wenbin Zhang AILaw 43 33 0 31 Mar 2024
Trustworthy Large Models in Vision: A Survey Ziyan Guo Li Xu Jun Liu MU 64 0 0 16 Nov 2023
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review Pengzhou Cheng Zongru Wu Wei Du Haodong Zhao Wei Lu Gongshen Liu SILM AAML 29 17 0 12 Sep 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 29 53 0 07 Jun 2023
Few-Shot Backdoor Attacks on Visual Object Tracking Yiming Li Haoxiang Zhong Xingjun Ma Yong Jiang Shutao Xia AAML 38 53 0 31 Jan 2022
Mitigating backdoor attacks in LSTM-based Text Classification Systems by Backdoor Keyword Identification Chuanshuai Chen Jiazhu Dai SILM 55 126 0 11 Jul 2020
Clean-Label Backdoor Attacks on Video Recognition Models Shihao Zhao Xingjun Ma Xiang Zheng James Bailey Jingjing Chen Yu-Gang Jiang AAML 196 274 0 06 Mar 2020
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 6,959 0 20 Apr 2018