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Play the villain! Your goal is to mislead an existing DL model into incorrectly predicting the pattern. First, you’ll load your dataset, learn its structure, and examine a few random samples using OpenCV or Matplotlib. Using NumPy, you’ll prepare your dataset for training. Then, it’s attack time: Using FGSM and PGD, you’ll generate malicious inputs for the model in an effort to predict any class other than the correct one. Finally, you’ll enlist NumPy again to evaluate the success ratio of your attacks.
This liveProject is for intermediate Python programmers who know the basics of data science. To begin this liveProject, you’ll need to be familiar with the following:TOOLS
In this liveProject, you’ll learn to generate malicious inputs to mislead a DL model into predicting any other class than the correct one.
geekle is based on a wordle clone.