Скачать или смотреть How to Steal AI Algorithms at the Edge and Protect Them July 15, 2025

Artificial Intelligence (AI) algorithms are increasingly deployed in edge environments, raising intellectual property (IP) protection concerns due to heightened risks of tampering, reverse engineering, or theft of sensitive models and data. While board-level hacking is common and well-known, microelectronics tampering is rarer, more complex, and harder to detect — its success can severely compromise systems and diminish competitive advantage. Learn about what applications are vulnerable to microelectronics attacks, methods and risks of microelectronics tampering, such as side channel and beam attacks, why commercial security engineering limitations can lead to national security threats, and hear from industry, government, and academic experts about how to protect Ai algorithms and microelectronics systems.

Discover:
How your IP, Ai tech, data, and sensors aren’t as safe as you think
Commercial and defense applications that can be at risk: Tesla and MQ9
Why trust and assurance are more than just domestic manufacturing
Microelectronics tampering methods: imaging, SCA, beam attacks, delayering, probing, and more
Risks of microelectronics tampering methods
Limitations of commercial security engineering and how corporate espionage can become a national security threat
What secure microelectronics are and how Mercury is ensuring their resiliency

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