A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories
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Abstract (arXiv)
Deep neural networks are vulnerable to adversarial attacks.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Nov 2019.
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Citing papers per year: 2021: 1; 2022: 3; 2023: 4; 2024: 0; 2025: 1.
9 papers.
- 2022Blackbox Attacks via Surrogate Ensemble Searchcited by 13
- 2021Avengers Ensemble! Improving Transferability of Authorship Obfuscationcited by 7
- 2022Fast Adversarial Training with Noise Augmentation: A Unified Perspective on RandStart and GradAligncited by 7
- 2022Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attackscited by 5
- 2023Improving Adversarial Transferability with Scheduled Step Size and Dual Examplecited by 3
- 2023Towards the Transferable Audio Adversarial Attack via Ensemble Methodscited by 1
- 2023Overcoming Adversarial Attacks for Human-in-the-Loop Applicationscited by 1
- 2025Boosting Adversarial Transferability via Residual Perturbation Attackcited by 1
- 2023Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attackscited by 0
- 2025Boosting Adversarial Transferability via Residual Perturbation Attack6 Aug 2025
- 2023Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks6 Jul 2023
- 2023Overcoming Adversarial Attacks for Human-in-the-Loop Applications9 Jun 2023
- 2023Towards the Transferable Audio Adversarial Attack via Ensemble Methods18 Apr 2023
- 2023Improving Adversarial Transferability with Scheduled Step Size and Dual Example30 Jan 2023
- 2022Blackbox Attacks via Surrogate Ensemble Search7 Aug 2022
- 2022Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks6 Apr 2022
- 2022Fast Adversarial Training with Noise Augmentation: A Unified Perspective on RandStart and GradAlign11 Feb 2022
- 2021Avengers Ensemble! Improving Transferability of Authorship Obfuscation15 Sep 2021