"Do you trust your AI models? Honestly, I don't trust them. We should not trust them." These powerful words from STMicroelectronics' Mounia Kharbouche perfectly capture the security challenge facing the edge AI world today. As organizations rush to deploy AI workloads at the edge, a complex security landscape emerges that demands careful navigation. This fascinating panel discussion dives deep into the three major threat vectors organizations must prepare for: algorithmic attacks that m...
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"Do you trust your AI models? Honestly, I don't trust them. We should not trust them." These powerful words from STMicroelectronics' Mounia Kharbouche perfectly capture the security challenge facing the edge AI world today. As organizations rush to deploy AI workloads at the edge, a complex security landscape emerges that demands careful navigation. This fascinating panel discussion dives deep into the three major threat vectors organizations must prepare for: algorithmic attacks that m...
Protecting valuable AI models from theft is becoming a critical concern as more computation moves to edge devices. This fascinating exploration reveals how sophisticated attackers can extract proprietary neural networks directly from hardware through side-channel attacks - not as theoretical possibilities, but as practical demonstrations on devices from major manufacturers including Nvidia, ARM, NXP, and Google's Coral TPUs. The speakers present a novel approach to safeguarding existing hard...
EDGE AI POD
"Do you trust your AI models? Honestly, I don't trust them. We should not trust them." These powerful words from STMicroelectronics' Mounia Kharbouche perfectly capture the security challenge facing the edge AI world today. As organizations rush to deploy AI workloads at the edge, a complex security landscape emerges that demands careful navigation. This fascinating panel discussion dives deep into the three major threat vectors organizations must prepare for: algorithmic attacks that m...
