Case study: Adversarial attacks on autonomous cars.
10:50 - 11:30, 23rd of May (Thursday) 2024/ DEV CODE STAGE
Modern autonomous systems are equipped in numerous sensors that allow to make a decision based on car environment perception. This is a reason why such solutions should be robust on adversarial attacks since the life of people depends on that and fail of such system might lead to tragedy. This case study will show you possible points of attack, methods of crafting such attacks and how to build secure and safe product resistant on majority of malware. By examining the evolving landscape of adversarial threats and their implications for autonomous systems, this case study serves as a valuable resource for engineers, developers, and policymakers tasked with ensuring the security of autonomous technologies. It aims to contribute to the ongoing dialogue surrounding the intersection of autonomy, safety, and security, ultimately fostering the creation of resilient, secure, and trustworthy autonomous systems that can navigate the complexities of the modern technological landscape.
