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Backdoor Vulnerabilities in Normally Trained Deep Learning Models

Backdoor Vulnerabilities in Normally Trained Deep Learning Models

29 November 2022
Guanhong Tao
Zhenting Wang
Shuyang Cheng
Shiqing Ma
Shengwei An
Yingqi Liu
Guangyu Shen
Zhuo Zhang
Yunshu Mao
Xiangyu Zhang
    SILM
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Papers citing "Backdoor Vulnerabilities in Normally Trained Deep Learning Models"

4 / 4 papers shown
Title
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models
Kai Mei
Zheng Li
Zhenting Wang
Yang Zhang
Shiqing Ma
AAML
SILM
19
48
0
28 May 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
SentiNet: Detecting Localized Universal Attacks Against Deep Learning
  Systems
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
AAML
168
286
0
02 Dec 2018
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,170
0
01 Sep 2014
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