Radboud University
AI and Hardware Security: The Best Is Yet to Come
Side-channel analysis has changed the field of cryptography and security and it became the most common cause of real-world security applications failing today. In this talk we first make an overview of side-channel attacks on implementations of cryptography and countermeasures. We discuss the ways Machine learning and AI changed the side-channel analysis landscape and attackers’ capabilities in particular. We survey several examples of AI assisting physical attackers and discuss the impact of AI on the field of hardware security. We also describe the way side-channel analysis can assist the AI model stealing by reverse engineering commercial neural nets architectures. In the end, we identify some avenues for future research.
Siemens AG
Navigating Security Challenges in AI-Enhanced Supply Chain
Integrating artificial intelligence and embedded systems into supply chains has significantly enhanced efficiency, scalability, and decision-making processes while simultaneously introducing complex security challenges. This presentation examines interdisciplinary approaches to securing AI-driven supply chains, emphasizing the integration of cryptographic solutions and robust AI techniques. Particular attention will be given to safeguarding the integrity and authenticity of system components, protecting AI systems including LLMs against adversarial attacks, and addressing emerging threats. This discussion will outline the bottlenecks in securing AI systems throughout their life cycles in light of upcoming global regulations and standardizations.
Qualcomm
To be announced