List of Abbreviations Used in a Manuscript on Adversarial Machine Learning

Sudip Saha published a list of abbreviations used in a manuscript on adversarial machine learning defense. The dataset is a 5.5 KB XLS file last updated on June 1, 2026. The manuscript describes a hybrid adversarially-trained deep learning framework tested on reconnaissance, shellcode, and worms datasets.

Use Cases

• Decoding technical abbreviations based on terms mentioned in the manuscript description, such as FGSM and PGD
• Supporting literature review for adversarial defense research based on the described machine learning framework
• Providing a reference for readers of the associated paper on hybrid adversarial training

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• The associated research paper describes specific performance metrics, such as 97.88% clean accuracy and 84.9% accuracy under FGSM attacks.

Limitations

• The dataset contains only abbreviations, not the core experimental data described in the manuscript.
• Row count and column structure are unknown, limiting assessment of the data's scope.
• The description metadata is limited to the manuscript's abstract; actual data content requires manual inspection.

Provenance

Source

Sudip Saha via figshare

Freshness

Last updated 2026-06-01 17:55:06