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Advancing the Robustness of Large Language Models through Self-Denoised
  Smoothing

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing

18 April 2024
Jiabao Ji
Bairu Hou
Zhen Zhang
Guanhua Zhang
Wenqi Fan
Qing Li
Yang Zhang
Gaowen Liu
Sijia Liu
Shiyu Chang
    AAML
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Papers citing "Advancing the Robustness of Large Language Models through Self-Denoised Smoothing"

5 / 5 papers shown
Title
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
Yang Wang
Chenghua Lin
ELM
28
0
0
05 Jan 2025
Enhancing the Capability and Robustness of Large Language Models through
  Reinforcement Learning-Driven Query Refinement
Enhancing the Capability and Robustness of Large Language Models through Reinforcement Learning-Driven Query Refinement
Zisu Huang
Xiaohua Wang
Feiran Zhang
Zhibo Xu
Cenyuan Zhang
Xiaoqing Zheng
Xuanjing Huang
AAML
LRM
19
3
0
01 Jul 2024
A safety realignment framework via subspace-oriented model fusion for
  large language models
A safety realignment framework via subspace-oriented model fusion for large language models
Xin Yi
Shunfan Zheng
Linlin Wang
Xiaoling Wang
Liang He
35
20
0
15 May 2024
Gradient-based Adversarial Attacks against Text Transformers
Gradient-based Adversarial Attacks against Text Transformers
Chuan Guo
Alexandre Sablayrolles
Hervé Jégou
Douwe Kiela
SILM
95
225
0
15 Apr 2021
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
205
430
0
25 Sep 2019
1