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Implemented reduced color space (snapped color) filter

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Aidan Sharpe
2024-04-05 17:18:25 -04:00
parent 47b14362de
commit afd810a802
4 changed files with 94 additions and 63 deletions
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Filter_Analysis/wiki/Results.md
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@ -46,55 +46,64 @@
## Models Defended with Various Filters
### Tabulated Results
| $\epsilon$ | FGSM | Kuwahara | Bilateral | Gaussian Blur | Random Noise |
|------------|--------|----------|-----------|---------------|--------------|
| 0.05 | 0.9600 | 0.8700 | 0.8902 | 0.9271 | 0.9603 |
| 0.10 | 0.8753 | 0.8123 | 0.8133 | 0.8516 | 0.8677 |
| 0.15 | 0.7229 | 0.7328 | 0.7098 | 0.7415 | 0.7153 |
| 0.20 | 0.5008 | 0.6301 | 0.5683 | 0.5983 | 0.4941 |
| 0.25 | 0.2922 | 0.5197 | 0.4381 | 0.4591 | 0.2843 |
| 0.30 | 0.1599 | 0.3981 | 0.3364 | 0.3481 | 0.1584 |
| $\epsilon$ | FGSM | Kuwahara | Bilateral | Gaussian Blur | Random Noise | Snapped Color |
|------------|--------|----------|-----------|---------------|--------------|---------------|
| 0.05 | 0.9600 | 0.8700 | 0.8902 | 0.9271 | 0.9603 | 0.9781 |
| 0.10 | 0.8753 | 0.8123 | 0.8133 | 0.8516 | 0.8677 | 0.8818 |
| 0.15 | 0.7229 | 0.7328 | 0.7098 | 0.7415 | 0.7153 | 0.8408 |
| 0.20 | 0.5008 | 0.6301 | 0.5683 | 0.5983 | 0.4941 | 0.7496 |
| 0.25 | 0.2922 | 0.5197 | 0.4381 | 0.4591 | 0.2843 | 0.4301 |
| 0.30 | 0.1599 | 0.3981 | 0.3364 | 0.3481 | 0.1584 | 0.2091 |
### Plotted Results
![]()
### Raw Program Output
Epsilon: 0.05
Original Accuracy = 9920 / 10000 = 0.992
Attacked Accuracy = 9600 / 10000 = 0.96
Kuwahara Accuracy = 8700 / 10000 = 0.87
Bilateral Accuracy = 8902 / 10000 = 0.8902
Gaussian Blur Accuracy = 9271 / 10000 = 0.9271
Noisy Accuracy = 9603 / 10000 = 0.9603
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
Attacked (No Filter) Accuracy = 9600 / 10000 = 0.96
Attacked (Kuwahara Filter) Accuracy = 8700 / 10000 = 0.87
Attacked (Bilateral Filter) Accuracy = 8902 / 10000 = 0.8902
Attacked (Gaussian Blur) Accuracy = 9271 / 10000 = 0.9271
Attacked (Random Noise) Accuracy = 9603 / 10000 = 0.9603
Attacked (Snapped Color) Accuracy = 9781 / 10000 = 0.9781
Epsilon: 0.1
Original Accuracy = 9920 / 10000 = 0.992
Attacked Accuracy = 8753 / 10000 = 0.8753
Kuwahara Accuracy = 8123 / 10000 = 0.8123
Bilateral Accuracy = 8133 / 10000 = 0.8133
Gaussian Blur Accuracy = 8516 / 10000 = 0.8516
Noisy Accuracy = 8677 / 10000 = 0.8677
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
Attacked (No Filter) Accuracy = 8753 / 10000 = 0.8753
Attacked (Kuwahara Filter) Accuracy = 8123 / 10000 = 0.8123
Attacked (Bilateral Filter) Accuracy = 8133 / 10000 = 0.8133
Attacked (Gaussian Blur) Accuracy = 8516 / 10000 = 0.8516
Attacked (Random Noise) Accuracy = 8677 / 10000 = 0.8677
Attacked (Snapped Color) Accuracy = 8818 / 10000 = 0.8818
Epsilon: 0.15000000000000002
Original Accuracy = 9920 / 10000 = 0.992
Attacked Accuracy = 7229 / 10000 = 0.7229
Kuwahara Accuracy = 7328 / 10000 = 0.7328
Bilateral Accuracy = 7098 / 10000 = 0.7098
Gaussian Blur Accuracy = 7415 / 10000 = 0.7415
Noisy Accuracy = 7153 / 10000 = 0.7153
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
Attacked (No Filter) Accuracy = 7229 / 10000 = 0.7229
Attacked (Kuwahara Filter) Accuracy = 7328 / 10000 = 0.7328
Attacked (Bilateral Filter) Accuracy = 7098 / 10000 = 0.7098
Attacked (Gaussian Blur) Accuracy = 7415 / 10000 = 0.7415
Attacked (Random Noise) Accuracy = 7153 / 10000 = 0.7153
Attacked (Snapped Color) Accuracy = 8408 / 10000 = 0.8408
Epsilon: 0.2
Original Accuracy = 9920 / 10000 = 0.992
Attacked Accuracy = 5008 / 10000 = 0.5008
Kuwahara Accuracy = 6301 / 10000 = 0.6301
Bilateral Accuracy = 5683 / 10000 = 0.5683
Gaussian Blur Accuracy = 5983 / 10000 = 0.5983
Noisy Accuracy = 4941 / 10000 = 0.4941
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
Attacked (No Filter) Accuracy = 5008 / 10000 = 0.5008
Attacked (Kuwahara Filter) Accuracy = 6301 / 10000 = 0.6301
Attacked (Bilateral Filter) Accuracy = 5683 / 10000 = 0.5683
Attacked (Gaussian Blur) Accuracy = 5983 / 10000 = 0.5983
Attacked (Random Noise) Accuracy = 4941 / 10000 = 0.4941
Attacked (Snapped Color) Accuracy = 7496 / 10000 = 0.7496
Epsilon: 0.25
Original Accuracy = 9920 / 10000 = 0.992
Attacked Accuracy = 2922 / 10000 = 0.2922
Kuwahara Accuracy = 5197 / 10000 = 0.5197
Bilateral Accuracy = 4381 / 10000 = 0.4381
Gaussian Blur Accuracy = 4591 / 10000 = 0.4591
Noisy Accuracy = 2843 / 10000 = 0.2843
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
Attacked (No Filter) Accuracy = 2922 / 10000 = 0.2922
Attacked (Kuwahara Filter) Accuracy = 5197 / 10000 = 0.5197
Attacked (Bilateral Filter) Accuracy = 4381 / 10000 = 0.4381
Attacked (Gaussian Blur) Accuracy = 4591 / 10000 = 0.4591
Attacked (Random Noise) Accuracy = 2843 / 10000 = 0.2843
Attacked (Snapped Color) Accuracy = 4301 / 10000 = 0.4301
Epsilon: 0.3
Original Accuracy = 9920 / 10000 = 0.992
Attacked Accuracy = 1599 / 10000 = 0.1599
Kuwahara Accuracy = 3981 / 10000 = 0.3981
Bilateral Accuracy = 3364 / 10000 = 0.3364
Gaussian Blur Accuracy = 3481 / 10000 = 0.3481
Noisy Accuracy = 1584 / 10000 = 0.1584
Clean (No Filter) Accuracy = 9920 / 10000 = 0.992
Attacked (No Filter) Accuracy = 1599 / 10000 = 0.1599
Attacked (Kuwahara Filter) Accuracy = 3981 / 10000 = 0.3981
Attacked (Bilateral Filter) Accuracy = 3364 / 10000 = 0.3364
Attacked (Gaussian Blur) Accuracy = 3481 / 10000 = 0.3481
Attacked (Random Noise) Accuracy = 1584 / 10000 = 0.1584
Attacked (Snapped Color) Accuracy = 2091 / 10000 = 0.2091