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Detecting Backdoor Poisoning Attacks on Deep Neural Networks by Heatmap
  Clustering

Detecting Backdoor Poisoning Attacks on Deep Neural Networks by Heatmap Clustering

27 April 2022
Lukas Schulth
Christian Berghoff
Matthias Neu
    AAML
ArXivPDFHTML

Papers citing "Detecting Backdoor Poisoning Attacks on Deep Neural Networks by Heatmap Clustering"

5 / 5 papers shown
Title
Trustworthy Federated Learning: Privacy, Security, and Beyond
Trustworthy Federated Learning: Privacy, Security, and Beyond
Chunlu Chen
Ji Liu
Haowen Tan
Xingjian Li
Kevin I-Kai Wang
Peng Li
Kouichi Sakurai
Dejing Dou
FedML
57
5
0
03 Nov 2024
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group
  Robustness to Spurious Correlations
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
Rwiddhi Chakraborty
Adrian Sletten
Michael C. Kampffmeyer
34
0
0
20 Mar 2024
Pick your Poison: Undetectability versus Robustness in Data Poisoning
  Attacks
Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks
Nils Lukas
Florian Kerschbaum
36
1
0
07 May 2023
Data Isotopes for Data Provenance in DNNs
Data Isotopes for Data Provenance in DNNs
Emily Wenger
Xiuyu Li
Ben Y. Zhao
Vitaly Shmatikov
20
12
0
29 Aug 2022
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
326
5,847
0
08 Jul 2016
1