Invisible backdoor learning in regional transform domain

No abstract is available for this paper.

• Publication year

  2024

• Venue

  Neural computing & applications (Print)

• Publication date

  2024-02-28

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1007/s00521-024-09506-3
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• BlindNet backdoor: Attack on deep neural network using blind watermark

  2022cited by this paper
• Ensemble deep learning: A review

  2021cited by this paper
• Backdoor Attack through Frequency Domain

  2021influential reference
• Backdoor Suppression in Neural Networks using Input Fuzzing and Majority Voting

  2020cited by this paper
• Input-Aware Dynamic Backdoor Attack

  2020cited by this paper
• Detecting Backdoor Attacks via Class Difference in Deep Neural Networks

  2020cited by this paper
• Image Segmentation Using Deep Learning: A Survey

  2020cited by this paper
• Rethinking the Trigger of Backdoor Attack

  2020cited by this paper
• ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation

  2019cited by this paper
• Label-Consistent Backdoor Attacks

  2019cited by this paper
• Deep learning-based image recognition for autonomous driving

  2019cited by this paper
• Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems

  2019cited by this paper
• STRIP: a defence against trojan attacks on deep neural networks

  2019cited by this paper
• Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks

  2019cited by this paper
• A New Backdoor Attack in CNNS by Training Set Corruption Without Label Poisoning

  2019cited by this paper
• Deep learning and its applications to machine health monitoring

  2019cited by this paper
• BadNets: Evaluating Backdooring Attacks on Deep Neural Networks

  2019influential reference
• Natural Adversarial Examples

  2019cited by this paper
• Latent Backdoor Attacks on Deep Neural Networks

  2019cited by this paper
• Invisible Backdoor Attacks on Deep Neural Networks Via Steganography and Regularization

  2019cited by this paper
• PoTrojan: powerful neural-level trojan designs in deep learning models

  2018cited by this paper
• How To Backdoor Federated Learning

  2018cited by this paper
• Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

  2017cited by this paper
• Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks

  2017cited by this paper
• Machine translation using deep learning: An overview

  2017cited by this paper
• Detection of traffic signs in real-world images: The German traffic sign detection benchmark

  2013cited by this paper
• Learning Multiple Layers of Features from Tiny Images

  2009cited by this paper
• Attribute and simile classifiers for face verification

  2009cited by this paper

• A Knowledge-Driven dual trigger mechanism for enhancing model security in multi-Source fusion systems

  2025cites this paper
• Human brain information encryption

  2024cites this paper