Hossein Aboutalebi
Orcid: 0000-0003-4396-3993
According to our database1,
Hossein Aboutalebi
authored at least 20 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating.
IEEE Access, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
2023
DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection.
CoRR, 2023
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning.
IEEE Access, 2023
2022
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics.
CoRR, 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 Biochemistry Data.
CoRR, 2022
2021
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis.
CoRR, 2021
Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning.
CoRR, 2021
COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images.
CoRR, 2021
COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images.
CoRR, 2021
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images.
CoRR, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021
2020
2019
Learning Reliable Policies in the Bandit Setting with Application to Adaptive Clinical Trials.
Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019
Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials.
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence, 2019
2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018