4 papers · 1 filter
Kraken: Higher-order EM Side-Channel Attacks on DNNs in Near and Far Field
Peter Horvath, Ilia Shumailov, Lukasz Chmielewski +2
The multi-million dollar investment required for modern machine learning (ML) has made large ML models a prime target for theft. In response, the field of model stealing has emerge…
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…
BarraCUDA: Edge GPUs do Leak DNN Weights
Peter Horvath, Lukasz Chmielewski, Leo Weissbart +2
Over the last decade, applications of neural networks (NNs) have spread to various aspects of our lives. A large number of companies base their businesses on building products that…
CNN architecture extraction on edge GPU
Peter Horvath, Lukasz Chmielewski, Leo Weissbart +2
Neural networks have become popular due to their versatility and state-of-the-art results in many applications, such as image classification, natural language processing, speech re…