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Backdoor Attacks with Input-unique Triggers in NLP

Backdoor Attacks with Input-unique Triggers in NLP

25 March 2023
Xukun Zhou
Jiwei Li
Tianwei Zhang
Lingjuan Lyu
Muqiao Yang
Jun He
    SILM
    AAML
ArXivPDFHTML

Papers citing "Backdoor Attacks with Input-unique Triggers in NLP"

5 / 5 papers shown
Title
BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts
BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts
Qingyue Wang
Qi Pang
Xixun Lin
Shuai Wang
Daoyuan Wu
MoE
57
0
0
24 Apr 2025
A Comprehensive Overview of Backdoor Attacks in Large Language Models
  within Communication Networks
A Comprehensive Overview of Backdoor Attacks in Large Language Models within Communication Networks
Haomiao Yang
Kunlan Xiang
Mengyu Ge
Hongwei Li
Rongxing Lu
Shui Yu
SILM
26
42
0
28 Aug 2023
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text
  Style Transfer
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
77
175
0
14 Oct 2021
Mitigating backdoor attacks in LSTM-based Text Classification Systems by
  Backdoor Keyword Identification
Mitigating backdoor attacks in LSTM-based Text Classification Systems by Backdoor Keyword Identification
Chuanshuai Chen
Jiazhu Dai
SILM
53
126
0
11 Jul 2020
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object
  Detector
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen
Cory Cornelius
Jason Martin
Duen Horng Chau
ObjD
145
424
0
16 Apr 2018
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