3 citations · 5 across the 5 of their papers we have counts for
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TreeFI: Value-Aware Statistical Fault Injection for Deep Neural Networks
Noam Bires, Marcello Traiola, Angeliki Kritikakou +1
Reliability evaluation of deep neural networks under hardware faults commonly relies on fault injection, but exhaustive campaigns are intractable for modern models and datasets. St…
JENGA: Exploiting Counter-Based RowHammer Countermeasures to Break Real-Time Predictability
Valentin Abgrall, Marcello Traiola, Ruben Salvador +3
Safety-critical real-time systems must satisfy multiple dependability requirements, notably time predictability and security. In such systems, tasks must complete within bounded an…
ENFOR-SA: End-to-end Cross-layer Transient Fault Injector for Efficient and Accurate DNN Reliability Assessment on Systolic Arrays
Rafael Billig Tonetto, Marcello Traiola, Fernando Fernandes dos Santos +1
Recent advances in deep learning have produced highly accurate but increasingly large and complex DNNs, making traditional fault-injection techniques impractical. Accurate fault an…