1. 33,437
   adversarial machine learning articles were released between 2019 and 2024 (estd.)

   Count includes English-language articles classified under adversarial machine learning in ETO's Merged Academic Corpus. Read more >>
2. 128%
   growth in research between 2019 and 2024

   The number of English-language adversarial machine learning articles grew 128% between 2019 and 2024.
3. 2%
   of all artificial intelligence articles focused on adversarial machine learning

Yearly global adversarial machine learning research

1. 23
   citations for the average adversarial machine learning article
2. 18
   citations for the average artificial intelligence article

• Attention-Aware Discrimination for MR-to-CT Image Translation Using Cycle-Consistent Generative Adversarial Networks.
  2020: Radiology Artificial Intelligence. 18,555 citations
• A survey on Image Data Augmentation for Deep Learning
  2019: Journal of Big Data. 13,504 citations
• BERTScore: Evaluating Text Generation with BERT
  2019: arXiv. 8,557 citations
• Deep Leakage from Gradients
  2019: arXiv. 3,028 citations
• Universal and Transferable Adversarial Attacks on Aligned Language Models
  2023: arXiv. 2,935 citations
• Certified Adversarial Robustness via Randomized Smoothing
  2019: arXiv. 2,466 citations
• Training Generative Adversarial Networks with Limited Data
  2020: arXiv. 2,290 citations
• Alias-Free Generative Adversarial Networks
  2021: arXiv. 2,027 citations
• Natural Adversarial Examples
  2019: arXiv. 2,025 citations
• Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
  2019: IEEE Symposium on Security and Privacy. 1,973 citations