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06/02/2023
DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection
The tremendous recent advances in generative artificial intelligence tec...
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06/08/2022
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics
After more than two years since the beginning of the COVID-19 pandemic, ...
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04/24/2022
COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Bioch
Ever since the declaration of COVID-19 as a pandemic by the World Health...
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10/12/2021
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis
Medical image analysis continues to hold interesting challenges given th...
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09/14/2021
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow
As the COVID-19 pandemic continues to devastate globally, one promising ...
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09/08/2021
Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning
While significant research advances have been made in the field of deep ...
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06/18/2021
Residual Error: a New Performance Measure for Adversarial Robustness
Despite the significant advances in deep learning over the past decade, ...
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05/14/2021
COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images
As the COVID-19 pandemic continues to devastate globally, the use of che...
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05/04/2021
COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images
The health and socioeconomic difficulties caused by the COVID-19 pandemi...
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05/01/2021
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images
The world is still struggling in controlling and containing the spread o...
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12/26/2020
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
A major challenge in reinforcement learning is the design of exploration...
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11/18/2020
Self-Gradient Networks
The incredible effectiveness of adversarial attacks on fooling deep neur...
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08/01/2020
Vulnerability Under Adversarial Machine Learning: Bias or Variance?
Prior studies have unveiled the vulnerability of the deep neural network...
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03/04/2019
