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NoiseAttack: An Evasive Sample-Specific Multi-Targeted Backdoor Attack
  Through White Gaussian Noise

NoiseAttack: An Evasive Sample-Specific Multi-Targeted Backdoor Attack Through White Gaussian Noise

3 September 2024
Abdullah Arafat Miah
Kaan Icer
Resit Sendag
Yu Bi
    AAML
    DiffM
ArXivPDFHTML

Papers citing "NoiseAttack: An Evasive Sample-Specific Multi-Targeted Backdoor Attack Through White Gaussian Noise"

2 / 2 papers shown
Title
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural
  Networks via Image Quantization and Contrastive Adversarial Learning
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning
Zhenting Wang
Juan Zhai
Shiqing Ma
AAML
119
97
0
26 May 2022
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,356
0
25 Aug 2016
1