Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Additional eval7 baselines #1959

Merged
merged 8 commits into from
Sep 22, 2023
Merged

Additional eval7 baselines #1959

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
8 commits
Select commit Hold shift + click to select a range
58f3992
MOT results with updated model kwargs
swsuggs Jul 12, 2023
1a77e10
OD results with updated kwargs and targeted attack
swsuggs Jul 12, 2023
bef1f26
poison results for skull and student-driver triggers
swsuggs Jul 12, 2023
c5d0c04
add model kwargs to targeted carla configs
swsuggs Jul 12, 2023
02d57fd
carla od test splits
swsuggs Aug 2, 2023
484ea3a
carla od again
swsuggs Sep 21, 2023
2539af1
Merge branch 'develop' of https://github.com/twosixlabs/armory into a…
swsuggs Sep 21, 2023
6278dfd
link to configs and triggers
swsuggs Sep 22, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
16 changes: 8 additions & 8 deletions docs/baseline_results/carla_mot_results.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,18 +2,18 @@

This is the baseline evaluation for the multi-object tracking scenario. For single-object tracking, see [carla_video_tracking_results.md](../baseline_results/carla_video_tracking_results.md).

For [dev data](https://github.com/twosixlabs/armory/blob/master/armory/data/adversarial/carla_mot_dev.py), results obtained using Armory v0.16.1.
[Test](https://github.com/twosixlabs/armory/blob/master/armory/data/adversarial/carla_mot_test.py) results obtained using Armory v0.17.2.
Results obtained using Armory v0.18.0.



| Data | Defended | Attack | Attack Parameters | Benign DetA / AssA / HOTA | Adversarial DetA / AssA / HOTA | Test Size |
|------|----------|-------------------|--------------------------------|---------------------------|--------------------------------|-----------|
| Dev | no | Adversarial Patch | step_size=0.02, max_iter=100 | 0.49 / 0.62 / 0.55 | 0.18 / 0.57 / 0.32 | 20 |
| Dev | no | Robust DPatch | step_size=0.002, max_iter=1000 | 0.49 / 0.62 / 0.55 | 0.39 / 0.59 / 0.48 | 20 |
| Dev | yes | Robust DPatch | step_size=0.002, max_iter=1000 | 0.34 / 0.53 / 0.42 | 0.24 / 0.51 / 0.34 | 20 |
| Test | no | Adversarial Patch | step_size=0.02, max_iter=100 | 0.43 / 0.51 / 0.46 | 0.19 / 0.45 / 0.29 | 10 |
| Test | no | Robust DPatch | step_size=0.002, max_iter=1000 | 0.43 / 0.51 / 0.46 | 0.31 / 0.46 / 0.37 | 10 |
| Test | yes | Robust DPatch | step_size=0.002, max_iter=1000 | 0.32 / 0.45 / 0.38 | 0.22 / 0.41 / 0.30 | 10 |
| Dev | no | Adversarial Patch | step_size=0.02, max_iter=100 | 0.55 / 0.64 / 0.59 | 0.15 / 0.58 / 0.29 | 20 |
| Dev | no | Robust DPatch | step_size=0.002, max_iter=1000 | 0.55 / 0.64 / 0.59 | 0.42 / 0.61 / 0.50 | 20 |
| Dev | yes | Robust DPatch | step_size=0.002, max_iter=1000 | 0.36 / 0.53 / 0.44 | 0.25 / 0.49 / 0.35 | 20 |
| Test | no | Adversarial Patch | step_size=0.02, max_iter=100 | 0.45 / 0.55 / 0.49 | 0.25 / 0.47 / 0.35 | 10 |
| Test | no | Robust DPatch | step_size=0.002, max_iter=1000 | 0.45 / 0.55 / 0.49 | 0.36 / 0.49 / 0.41 | 10 |
| Test | yes | Robust DPatch | step_size=0.002, max_iter=1000 | 0.31 / 0.44 / 0.37 | 0.22 / 0.39 / 0.29 | 10 |

Defended results not available for Adversarial Patch attack because JPEG Compression defense is not implemented in PyTorch and so is not fully differentiable.
Note that Robust DPatch is considerably slower than Adversarial Patch.
Expand Down
Loading