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Boosting Backdoor Attack with A Learnable Poisoning Sample Selection
  Strategy

Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy

14 July 2023
Zihao Zhu
Mingda Zhang
Shaokui Wei
Li Shen
Yanbo Fan
Baoyuan Wu
    AAML
    SILM
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Papers citing "Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy"

3 / 3 papers shown
Title
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
39
21
0
19 Feb 2023
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
116
97
0
26 May 2022
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient
  Deep Model Training
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
Krishnateja Killamsetty
D. Sivasubramanian
Ganesh Ramakrishnan
A. De
Rishabh K. Iyer
OOD
81
184
0
27 Feb 2021
1