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05/23/2023
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
Although supervised learning has been highly successful in improving the...
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09/05/2022
A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets
Deep Neural Network (DNN) models are increasingly evaluated using new re...
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05/31/2022
Exact Feature Collisions in Neural Networks
Predictions made by deep neural networks were shown to be highly sensiti...
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11/22/2021
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes
Although ImageNet was initially proposed as a dataset for performance be...
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06/14/2021
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks
Although the adoption rate of deep neural networks (DNNs) has tremendous...
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01/26/2021
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems
Given their substantial success in addressing a wide range of computer v...
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07/07/2020
Regional Image Perturbation Reduces L_p Norms of Adversarial Examples While Maintaining Model-to-model Transferability
Regional adversarial attacks often rely on complicated methods for gener...
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06/02/2020
Perturbation Analysis of Gradient-based Adversarial Attacks
After the discovery of adversarial examples and their adverse effects on...
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07/30/2019
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation
Deep learning models, which are increasingly being used in the field of ...
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07/30/2019
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding
Detecting adversarial examples currently stands as one of the biggest ch...
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12/06/2018
Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning
Glaucoma is a major eye disease, leading to vision loss in the absence o...
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11/21/2018
How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples
Even before deep learning architectures became the de facto models for c...
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08/28/2018
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
Character-level features are currently used in different neural network-...
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07/25/2017
Dual Rectified Linear Units (DReLUs): A Replacement for Tanh Activation Functions in Quasi-Recurrent Neural Networks
In this paper, we introduce a novel type of Rectified Linear Unit (ReLU)...
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07/19/2017