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Mount a targeted attack! Your goal is to mislead an existing DL model into predicting a specific incorrect target class. First, you’ll load your dataset, learn its structure, and examine a few random samples using OpenCV or Matplotlib. Next, you’ll prepare your dataset for training using NumPy. Then you’ll generate malicious input using three different classes from the highly popular CleverHans attack library. 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 a specific incorrect class.
geekle is based on a wordle clone.