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- Journal Article
- A1
- open access
Mutate and observe : utilizing deep neural networks to investigate the impact of mutations on translation initiation
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Utilizing mutations to evaluate interpretability of neural networks on genomic data
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- PhD Thesis
- open access
Prevalence of adversarial examples in neural networks : attacks, defenses, and opportunities
(2022) -
- Conference Paper
- C1
- open access
Evaluating adversarial attacks on ImageNet : a reality check on misclassification classes
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- Conference Paper
- C1
- open access
Selection of source images heavily influences the effectiveness of adversarial attacks
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- Journal Article
- A1
- open access
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems
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Automatic detection of Trypanosomosis in thick blood smears using image pre-processing and deep learning
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Regional image perturbation reduces Lp norms of adversarial examples while maintaining model-to-model transferability
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Perturbation analysis of gradient-based adversarial attacks
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- Conference Paper
- P1
- open access
Impact of adversarial examples on deep learning models for biomedical image segmentation