Added support for Overload attack #2337
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Hi @CNOCycle Thank you very much for your pull request! Could you please change the target and rebase on to dev branch |
Codecov Report
❗ Your organization needs to install the Codecov GitHub app to enable full functionality. Additional details and impacted files@@ Coverage Diff @@
## dev_1.18.0 #2337 +/- ##
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- Coverage 85.60% 69.87% -15.73%
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Files 324 325 +1
Lines 29326 29443 +117
Branches 5407 5426 +19
===============================================
- Hits 25104 20574 -4530
- Misses 2840 7674 +4834
+ Partials 1382 1195 -187
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![github-advanced-security[bot]](https://avatars.githubusercontent.com/in/57789?s=60&v=4){kind=small}
| try: | ||
| import torch | ||
| model = torch.hub.load('ultralytics/yolov5:v7.0', model='yolov5s') | ||
| x = np.random(0.0, 1.0, size=(100, 3, 640, 640)) |
Check failure
Code scanning / CodeQL
Non-callable called Error
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| idx_min = torch.argmin(scores) | ||
| grid_min = grid_box[idx_min] | ||
| x1, y1, x2, y2 = grid_min.int() |
Check notice
Code scanning / CodeQL
Unused local variable Note
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| idx_min = torch.argmin(scores) | ||
| grid_min = grid_box[idx_min] | ||
| x1, y1, x2, y2 = grid_min.int() |
Check notice
Code scanning / CodeQL
Unused local variable Note
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| idx_min = torch.argmin(scores) | ||
| grid_min = grid_box[idx_min] | ||
| x1, y1, x2, y2 = grid_min.int() |
Check notice
Code scanning / CodeQL
Unused local variable Note
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| idx_min = torch.argmin(scores) | ||
| grid_min = grid_box[idx_min] | ||
| x1, y1, x2, y2 = grid_min.int() |
Check notice
Code scanning / CodeQL
Unused local variable Note
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Description
This pull request adds the support of the Overload Attack proposed in [1].
[1] Overload: Latency Attacks on Object Detection for Edge Devices. [Paper]
Type of change
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Testing
Please describe the tests that you ran to verify your changes. Consider listing any relevant details of your test configuration.
Test Configuration:
Checklist