6 citations · 6 across the 3 of their papers we have counts for
5 papers
DeepFreeze: Cold Boot Attacks and High Fidelity Model Recovery on Commercial EdgeML Device
Yoo-Seung Won, Soham Chatterjee, Dirmanto Jap +2
EdgeML accelerators like Intel Neural Compute Stick 2 (NCS) can enable efficient edge-based inference with complex pre-trained models. The models are loaded in the host (like Raspb…
Mitigating Power Attacks through Fine-Grained Instruction Reordering
Yun Chen, Ali Hajiabadi, Romain Poussier +3
Side-channel attacks are a security exploit that take advantage of information leakage. They use measurement and analysis of physical parameters to reverse engineer and extract sec…
Enhancing Fault Tolerance of Neural Networks for Security-Critical Applications
Manaar Alam, Arnab Bag, Debapriya Basu Roy +4
Neural Networks (NN) have recently emerged as backbone of several sensitive applications like automobile, medical image, security, etc. NNs inherently offer Partial Fault Tolerance…
CSI Neural Network: Using Side-channels to Recover Your Artificial Neural Network Information
Lejla Batina, Shivam Bhasin, Dirmanto Jap +1
Machine learning has become mainstream across industries. Numerous examples proved the validity of it for security applications. In this work, we investigate how to reverse enginee…
DeepLaser: Practical Fault Attack on Deep Neural Networks
Jakub Breier, Xiaolu Hou, Dirmanto Jap +3
As deep learning systems are widely adopted in safety- and security-critical applications, such as autonomous vehicles, banking systems, etc., malicious faults and attacks become a…