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

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 few memory level perturbations can drastically degrade accuracy. Existing defenses incur significan