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Adversarial Attacks and Dimensionality in Text Classifiers
For all of the aforementioned studies, we have run tests on multiple models with varying dimensionality and used a word-vector level adversarial attack to substantiate the findings.
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
Adversarial patch attacks pose a significant threat to the practical deployment of deep learning systems.
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches
ODDR employs a three-stage pipeline: Fragmentation, Segregation, and Neutralization, providing a model-agnostic solution applicable to both image classification and object detection tasks.
Spatially Correlated Patterns in Adversarial Images
Adversarial attacks have proved to be the major impediment in the progress on research towards reliable machine learning solutions.
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