1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Causal Analysis for Robust Interpretability of Neural Networks
Ola Ahmad, Nicolas Bereux, Loïc Baret +2
Interpreting the inner function of neural networks is crucial for the trustworthy development and deployment of these black-box models. Prior interpretability methods focus on corr…
cs.LG2022★ 1 cited
Runtime Monitoring for Out-of-Distribution Detection in Object Detection Neural Networks
Vahid Hashemi, Jan Křetínsky, Sabine Rieder +1
Runtime monitoring provides a more realistic and applicable alternative to verification in the setting of real neural networks used in industry. It is particularly useful for detec…
cs.CY2019
Social Influence and Radicalization: A Social Data Analytics Study
Vahid Moraveji Hashemi
The confluence of technological and societal advances is changing the nature of global terrorism. For example, engagement with Web, social media, and smart devices has the potentia…