4 papers
Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks
Steyn Hommes, Vincent Dankbaar, Tanguy Stekke +6
Fault injection (FI) attacks on embedded neural network (NN) implementations primarily focus on inducing misclassification by corrupting weights or intermediate computations, overl…
Leaf-centric Logical Topology Design for OCS-based GPU Clusters
Xinchi Han, Weihao Jiang, Yingming Mao +14
Recent years have witnessed the growing deployment of optical circuit switches (OCS) in commercial GPU clusters (e.g., Google A3 GPU cluster) optimized for machine learning (ML) wo…
Geminet: Learning the Duality-based Iterative Process for Lightweight Traffic Engineering in Changing Topologies
Ximeng Liu, Zhuoran Liu, Yingming Mao +3
Recently, researchers have explored ML-based Traffic Engineering (TE), leveraging neural networks to solve TE problems traditionally addressed by optimization. However, existing ML…
Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel
Zhuoran Liu, Senna van Hoek, Péter Horváth +3
Neural networks have become a fundamental component of numerous practical applications, and their implementations, which are often accelerated by hardware, are integrated into all…