Feature Smoothing for Generating Transferable Adversarial Examples
- 1 October 2026
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Emerging Topics in Computational Intelligence
- Vol. 10 (5) , 3639-3654
Abstract
No abstract availableKeywords
Funding Information
- National Key R&D Program of China (2024YFE0200503)
- National Natural Science Foundation of China (62371059)
This publication has 45 references indexed in Scilit:
- Frequency Domain Model Augmentation for Adversarial Attack2022
- Transferable adversarial examples based on global smooth perturbationsComputers & Security, 2022
- An on-chip photonic deep neural network for image classificationNature, 2022
- Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting2020
- Adversarial Attacks and Defences Competition2018
- Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser2018
- The Unreasonable Effectiveness of Deep Features as a Perceptual Metric2018
- ImageNet Large Scale Visual Recognition ChallengeInternational Journal of Computer Vision, 2015
- Visualizing and Understanding Convolutional Networks2014
- Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories2005