Adversarial attacks and defense mechanisms for image classification deep learning models in autonomous driving systems

HIGHLIGHTS

• What: By identifying key research gaps, such as the lack of standardized evaluation frameworks and limited exploration of cross-modal attacks, this research aims to contribute to the advancement of adaptive, scalable, and resilient ADSs capable of operating securely in adversarial dynamic environments. This systematic review has provided an in-depth analysis of adversarial attacks and robustness algorithms in image classification for ADS.
• Who: Divya Bharat Mistry from the Department of Electronics and Computer Science, Thakur College of Engineering and Technology, Mumbai, India have published the article: Adversarial attacks and defense mechanisms for image classification . . .
  

   

  

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