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Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly
  Detection

Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection

4 November 2020
Hao Fu
A. Veldanda
P. Krishnamurthy
S. Garg
Farshad Khorrami
    AAML
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Papers citing "Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection"

3 / 3 papers shown
Title
Backdoor Learning for NLP: Recent Advances, Challenges, and Future
  Research Directions
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions
Marwan Omar
SILM
AAML
25
20
0
14 Feb 2023
An Upper Bound for the Distribution Overlap Index and Its Applications
An Upper Bound for the Distribution Overlap Index and Its Applications
Hao Fu
P. Krishnamurthy
S. Garg
Farshad Khorrami
VLM
19
0
0
16 Dec 2022
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural
  Networks by Examining Differential Feature Symmetry
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry
Yingqi Liu
Guangyu Shen
Guanhong Tao
Zhenting Wang
Shiqing Ma
X. Zhang
AAML
22
8
0
16 Mar 2021
1