The Conference for Machine Learning Innovation

Making Machine Learning Models Attack-Proof with Adversarial Robustness

Workshop
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Register until October 20:
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✓ Team discount
✓ Extra Specials for Freelancers
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Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
Register Now
Join the ML Revolution!
Register until November 03:

✓ Save up to €494
✓ 10% Team Discount✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Register until November 03:

✓ Save up to €494
✓ 10% Team Discount✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Infos
Thursday, December 1 2022
13:30 - 17:00

We can easily trick a classifier into making embarrassingly false predictions. When this is done systematically and intentionally, it is called an adversarial attack. Specifically, this kind of attack is called an evasion attack. In this session, we will examine an evasion use case and briefly explain other forms of attacks. Then, we explain two defense methods: spatial smoothing preprocessing and adversarial training. Lastly, we will demonstrate one robustness evaluation method and one certification method to ascertain that the model can withstand such attacks.

Jupyter environment with Python >= 3.6, and install libraries Matplotlib >= 3.1.3, Scikit Learn >= 0.22.1, Numpy >= 1.18.1, Seaborn >= 0.10.0, Tensorflow>=2.4.1, Tqdm>=4.41.1, adversarial-robustness-toolbox>1.5.0, machine-learning-datasets>=0.01.16 (If we can count on Internet a google colab environment is preferred)

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This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Munich Munich .

This Session Diese Session belongs to the gehört zum Programm von BerlinBerlin program. Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

Behind the Tracks