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What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space
v1v2 (latest)

What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space

18 January 2021
Shihao Zhao
Xingjun Ma
Yisen Wang
James Bailey
Yue Liu
Yu-Gang Jiang
    AAML
ArXiv (abs)PDFHTML

Papers citing "What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space"

6 / 6 papers shown
Title
Beating Backdoor Attack at Its Own Game
Beating Backdoor Attack at Its Own Game
Min Liu
Alberto L. Sangiovanni-Vincentelli
Xiangyu Yue
AAML
175
12
0
28 Jul 2023
Distilling Cognitive Backdoor Patterns within an Image
Distilling Cognitive Backdoor Patterns within an Image
Hanxun Huang
Xingjun Ma
S. Erfani
James Bailey
AAML
108
26
0
26 Jan 2023
A Survey of Neural Trojan Attacks and Defenses in Deep Learning
A Survey of Neural Trojan Attacks and Defenses in Deep Learning
Jie Wang
Ghulam Mubashar Hassan
Naveed Akhtar
AAML
74
26
0
15 Feb 2022
Training with More Confidence: Mitigating Injected and Natural Backdoors
  During Training
Training with More Confidence: Mitigating Injected and Natural Backdoors During Training
Zhenting Wang
Hailun Ding
Juan Zhai
Shiqing Ma
AAML
63
46
0
13 Feb 2022
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Yige Li
X. Lyu
Nodens Koren
Lingjuan Lyu
Yue Liu
Xingjun Ma
OnRL
108
338
0
22 Oct 2021
Backdoor Learning: A Survey
Backdoor Learning: A Survey
Yiming Li
Yong Jiang
Zhifeng Li
Shutao Xia
AAML
164
614
0
17 Jul 2020
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