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MPAI-NNW
ReferenceSoftwareV11
Commits
f631c0fc
Commit
f631c0fc
authored
Apr 16, 2024
by
Carl De Sousa Trias
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Update README.md
parent
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@@ -66,38 +66,38 @@ input: wget http://0.0.0.0:8000/[yourpath]/AIW.zip
...
@@ -66,38 +66,38 @@ input: wget http://0.0.0.0:8000/[yourpath]/AIW.zip
### **List of command for controller**
### **List of command for controller**
O
pen a window for selecti
ng the folder AIW.zip
:
This command will o
pen a window for
the
selecti
on of the AIW.zip folder
:
```
bash
```
bash
(
env
)
python input.py
(
env
)
python input.py
input: getparse
input: getparse
```
```
Run all, windows using tkinter will ask for the different files depending on the .zip parsed [AIW_MQA-NNW/AIW_MQA-NNW-Checker])
This command will run the AIW (after being parsed):
```
bash
```
bash
(
env
)
python input.py
(
env
)
python input.py
input: run all
input: run all
```
```
windows using tkinter will ask for the different files
**List of command for controller_NNW**
(old)
**List of command for controller_NNW**
(old)
for [AIWImp/AIWRob]
for [AIWImp/AIWRob]
O
pen a window for selecti
ng the folder AIW.zip
:
This command will o
pen a window for
the
selecti
on of the AIW.zip folder
:
```
bash
```
bash
(
env
)
python input.py
(
env
)
python input.py
input: getparse
input: getparse
```
```
S
et the Computational Cost flag ON:
This command will open s
et the Computational Cost flag ON:
```
bash
```
bash
(
env
)
python input.py
(
env
)
python input.py
input: ComputationalCost True
input: ComputationalCost True
```
```
R
un the Robustness AIW with the
**1**
Modification and
**{"P":0.5}**
Parameters
This command will open r
un the Robustness AIW with the
**1**
Modification and
**{"P":0.5}**
Parameters
```
bash
```
bash
(
env
)
python input.py
(
env
)
python input.py
input: run robustness 1
{
"P"
:0.5
}
input: run robustness 1
{
"P"
:0.5
}
```
```
R
un the Imperceptibility AIW with
**vgg16**
as watermarked AIM and trained on the
**CIFAR10**
dataset
This command will open r
un the Imperceptibility AIW with
**vgg16**
as watermarked AIM and trained on the
**CIFAR10**
dataset
```
bash
```
bash
(
env
)
python input.py
(
env
)
python input.py
input: run imperceptibility vgg16 cifar10
input: run imperceptibility vgg16 cifar10
...
...
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