4 papers
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…
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…
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…