notesum.ai
Published at December 10Addressing Key Challenges of Adversarial Attacks and Defenses in the Tabular Domain: A Methodological Framework for Coherence and Consistency
cs.LG
Released Date: December 10, 2024
Authors: Yael Itzhakev1, Amit Giloni, Yuval Elovici, Asaf Shabtai
Aff.: 1Ben-Gurion University of the Negev, Beer-Sheva, Israel

| Dataset | Metric | Models | ||||
| GB | LGB | XGB | RF | Surrogate | ||
| Hate | Accuracy | 0.91 | 0.92 | 0.88 | 0.91 | 0.95 |
| F1 Score | 0.91 | 0.92 | 0.87 | 0.91 | 0.95 | |
| Precision | 0.93 | 0.94 | 0.94 | 0.89 | 0.92 | |
| Recall | 0.89 | 0.91 | 0.82 | 0.92 | 1.00 | |
| ICU | Accuracy | 0.80 | 0.80 | 0.77 | 0.78 | 0.78 |
| F1 Score | 0.79 | 0.81 | 0.75 | 0.77 | 0.79 | |
| Precision | 0.82 | 0.84 | 0.82 | 0.81 | 0.81 | |
| Recall | 0.77 | 0.74 | 0.69 | 0.74 | 0.74 | |
| VideoTQ | Accuracy | 0.98 | 0.99 | 0.98 | 0.98 | 0.96 |
| F1 Score | 0.99 | 1.00 | 0.99 | 0.99 | 0.97 | |
| Precision | 0.91 | 0.97 | 0.96 | 0.93 | 0.86 | |
| Recall | 0.98 | 0.99 | 0.96 | 0.98 | 0.93 | |