Name
Title | ||
|---|---|---|
Deterministic and Statistical Strategies to Protect ANNs against Fault Injection Attacks |
Abstract | ||
|---|---|---|
Attificial neural networks are currently used for many tasks, including safety critical ones such as automated driving. Hence, it is very important to protect them against faults and fault attacks. In this work, we propose two fault injection attack detection mechanisms: one based on using output labels for a reference input, and the other on the activations of neurons. First, we calibrate our det... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/PST52912.2021.9647763 | 2021 18th International Conference on Privacy, Security and Trust (PST) |
Keywords | DocType | ISBN |
Neurons,Detectors,Artificial neural networks,Software,Real-time systems,Safety,Synchronization | Conference | 978-1-6654-0184-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Troya Çaǧıl Köylü | 1 | 0 | 0.34 |
| Cezar Rodolfo Wedig Reinbrecht | 2 | 1 | 1.39 |
| Said Hamdioui | 3 | 887 | 118.69 |
| Mottaqiallah Taouil | 4 | 0 | 0.34 |