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Haniyeh Ehsani Oskouie

ورقتان في مجموعة PaperMetrix

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  1. Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations

    2023

    Interpreting neural network classifiers using gradient-based saliency maps has been extensively studied in the deep learning literature. While the existing algorithms manage to achieve satisfactory performance in application to standard image recognition datasets, recent works …

  2. Exploring Cross-model Neuronal Correlations in the Context of Predicting Model Performance and Generalizability

    2024 · arXiv (Cornell University)

    As Artificial Intelligence (AI) models are increasingly integrated into critical systems, the need for a robust framework to establish the trustworthiness of AI is increasingly paramount. While collaborative efforts have established conceptual foundations for such …