On-Chip Monitors Detect Bit-Flip Attacks in AI Accelerators (UF, UT Dallas, RPI)

<p>Researchers at the University of Florida, University of Texas at Dallas, and Rensselaer Polytechnic Institute published a technical paper titled “BARE-AI: Bit-Flip Attack Resilience in AI Hardware through Built-in Performance Monitors.” Abstract Excerpt: “Deep Neural Networks (DNNs) are integral to many safety critical systems, yet they remain highly vulnerable to bit-flip attacks (BFAs), where a... <a class="read_more" href="https://semiengineering.com/on-chip-monitors-detect-bit-flip-attacks-in-ai-accelerators-uf-ut-dallas-rpi/">&#187; read more</a></p> <p>The post <a href="https://semiengineering.com/on-chip-monitors-detect-bit-flip-attacks-in-ai-accelerators-uf-ut-dallas-rpi/">On-Chip Monitors Detect Bit-Flip Attacks in AI Accelerators (UF, UT Dallas, RPI)</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>