Adversarial ML attacks intention to undermine the integrity and efficiency of ML styles by exploiting vulnerabilities of their style or deployment or injecting destructive inputs to disrupt the design’s supposed operate. ML types electricity A variety of programs we interact with day-to-day, like research tips, medical analysis techniques, fraud