notesum.ai
Published at November 25AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy
cs.CV
Released Date: November 25, 2024
Authors: Katharina Bendig1, René Schuster, Nicole Thiemer2, Karen Joisten2, Didier Stricker1
Aff.: 1DFKI - German Research Center for Artificial Intelligence; 2RPTU - University of Kaiserslautern-Landau

| Dataset | Input | Stage | |||
|---|---|---|---|---|---|
| DVS-Gesture [4] | Raw | Pre-training | 92.42 | 98.33 | 69.64 |
| Noise std=32 | Post-training | 84.47 | 60.00 | 27.24 | |
| Noise std=64 | Post-training | 82.20 | 61.67 | 27.04 | |
| Noise std=128 | Post-training | 78.79 | 50.00 | 23.40 | |
| Noise std=256 | Post-training | 66.29 | 36.67 | 20.07 | |
| Anonymized | All stages | 80.68 | 40.00 | 20.69 | |
| SEE [29] | Raw | Pre-training | 77.14 | 72.5 | 43.27 |
| Noise std = 1 | Post-training | 66.43 | 47.5 | 25.63 | |
| Noise std = 2 | Post-training | 60.00 | 35.00 | 17.98 | |
| Noise std = 4 | Post-training | 55.00 | 32.5 | 17.08 | |
| Anonymized | All stages | 55.71 | 25.0 | 13.14 |