Transient Execution Attacks That Leaks Arbitrary Kernel Memory (ETH Zurich)

A technical paper titled “Inception: Exposing New Attack Surfaces with Training in Transient Execution” was published by researchers at ETH Zurich. Abstract: "To protect against transient control-flow hijacks, software relies on a secure state of microarchitectural buffers that are involved in branching decisions. To achieve this secure state, hardware and software mitigations restrict or... » read more

Training a ML model On An Intelligent Edge Device Using Less Than 256KB Memory

A new technical paper titled "On-Device Training Under 256KB Memory" was published by researchers at MIT and MIT-IBM Watson AI Lab. “Our study enables IoT devices to not only perform inference but also continuously update the AI models to newly collected data, paving the way for lifelong on-device learning. The low resource utilization makes deep learning more accessible and can have a bro... » read more