add adversarial laser beam attack and tests

[mateuszGorczany]

Description

Please include a summary of the change, motivation and which issue is fixed. Any dependencies changes should also be included.

Fixes #1327

Type of change

Please check all relevant options.

• Improvement (non-breaking)
• Bug fix (non-breaking)
• New feature (non-breaking)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

Testing

Please describe the tests that you ran to verify your changes. Consider listing any relevant details of your test configuration.

• Test A
• Test B

Test Configuration:

• OS
• Python version
• ART version or commit number
• TensorFlow / Keras / PyTorch / MXNet version

Checklist

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes

[codecov-commenter]

Codecov Report

Merging #1398 (d9e791d) into dev_1.9.0 (3015edf) will decrease coverage by 0.40%.
The diff coverage is 80.85%.

@@              Coverage Diff              @@
##           dev_1.9.0    #1398      +/-   ##
=============================================
- Coverage      90.44%   90.03%   -0.41%     
=============================================
  Files            237      240       +3     
  Lines          19387    19669     +282     
  Branches        3438     3487      +49     
=============================================
+ Hits           17534    17709     +175     
- Misses          1074     1163      +89     
- Partials         779      797      +18     

Impacted Files	Coverage Δ
art/attacks/evasion/laser_attack/algorithms.py	69.56% <69.56%> (ø)
art/attacks/evasion/laser_attack/laser_attack.py	78.94% <78.94%> (ø)
art/attacks/evasion/laser_attack/utils.py	84.92% <84.92%> (ø)
...poison_mitigation/neural_cleanse/neural_cleanse.py	54.05% <0.00%> (-32.44%)	⬇️
...timators/poison_mitigation/neural_cleanse/keras.py	84.50% <0.00%> (-9.16%)	⬇️
art/estimators/certification/abstain.py	90.90% <0.00%> (-9.10%)	⬇️
art/estimators/poison_mitigation/strip/strip.py	94.44% <0.00%> (-5.56%)	⬇️
art/defences/detector/poison/activation_defence.py	84.84% <0.00%> (-0.34%)	⬇️

[beat-buesser]

Hi @mateuszGorczany Thank you very much for your first contribution to ART by implementing an evasion attack against image classifiers based on laser pointers that can easily be physically realised!