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

T2Covered by 1 source · first reported by Semiconductor Engineering / SemiWiki / EE Times / EE Journal / Electronics Weekly at 12 Oct, 22:34 UTC

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…

aihardwarescience

Sources

• T2On-Chip Monitors Detect Bit-Flip Attacks in AI Accelerators (UF, UT Dallas, RPI)Semiconductor Engineering / SemiWiki / EE Times / EE Journal / Electronics Weekly12 Oct, 22:34