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Hossein Aboutalebi
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Journal Articles
- 2024
- [j2]Hossein Aboutalebi
, Mohammad Javad Shafiee
Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating. IEEE Access 12: 48174-48188 (2024) - 2023
- [j1]Maziar Gomrokchi
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning. IEEE Access 11: 42796-42808 (2023)
Conference and Workshop Papers
- 2024
- [c6]Hossein Aboutalebi, Hwanjun Song, Yusheng Xie, Arshit Gupta, Lijia Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour:
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets. NAACL-HLT 2024: 5150-5167 - 2021
- [c5]Audrey G. Chung, Maya Pavlova, Hayden Gunraj
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. CCECE 2021: 1-5 - [c4]Susan Amin, Maziar Gomrokchi, Hossein Aboutalebi, Harsh Satija, Doina Precup:
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards. ICML 2021: 275-285 - 2019
- [c3]Hossein Aboutalebi, Doina Precup, Tibor Schuster:
Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials. AISafety@IJCAI 2019 - [c2]Hossein Aboutalebi, Doina Precup, Tibor Schuster:
Learning Reliable Policies in the Bandit Setting with Application to Adaptive Clinical Trials. KDH@IJCAI 2019: 43-49 - 2018
- [c1]Yuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle, Doina Precup:
Learning Predictive State Representations From Non-Uniform Sampling. AAAI 2018: 3061-3068
Informal and Other Publications
- 2024
- [i15]Hossein Aboutalebi, Hwanjun Song, Yusheng Xie, Arshit Gupta, Justin Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour:
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets. CoRR abs/2403.03194 (2024) - 2023
- [i14]Hossein Aboutalebi, Dayou Mao, Carol Xu, Alexander Wong:
DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection. CoRR abs/2306.01272 (2023) - 2022
- [i13]Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Adrian Florea, Andrew Hryniowski, Alexander Wong:
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 abs/2204.11210 (2022) - [i12]Maya Pavlova, Tia Tuinstra, Hossein Aboutalebi, Andy Zhao, Hayden Gunraj
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics. CoRR abs/2206.03671 (2022) - 2021
- [i11]Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong:
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images. CoRR abs/2105.00256 (2021) - [i10]Hossein Aboutalebi, Saad Abbasi, Mohammad Javad Shafiee, Alexander Wong:
COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images. CoRR abs/2105.01284 (2021) - [i9]Maya Pavlova, Naomi Terhljan, Audrey G. Chung, Andy Zhao, Siddharth Surana, Hossein Aboutalebi, Hayden Gunraj, Ali Sabri, Amer Alaref, Alexander Wong:
COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images. CoRR abs/2105.06640 (2021) - [i8]Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Residual Error: a New Performance Measure for Adversarial Robustness. CoRR abs/2106.10212 (2021) - [i7]Maziar Gomrokchi, Susan Amin, Hossein Aboutalebi, Alexander Wong, Doina Precup:
Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning. CoRR abs/2109.03975 (2021) - [i6]Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong:
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. CoRR abs/2109.06421 (2021) - [i5]Hossein Aboutalebi, Maya Pavlova, Hayden Gunraj, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong:
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis. CoRR abs/2110.06063 (2021) - 2020
- [i4]Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Vulnerability Under Adversarial Machine Learning: Bias or Variance? CoRR abs/2008.00138 (2020) - [i3]Hossein Aboutalebi, Mohammad Javad Shafiee, Alexander Wong:
Self-Gradient Networks. CoRR abs/2011.09364 (2020) - [i2]Susan Amin, Maziar Gomrokchi, Hossein Aboutalebi, Harsh Satija, Doina Precup:
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards. CoRR abs/2012.13658 (2020) - 2019
- [i1]Hossein Aboutalebi, Doina Precup, Tibor Schuster:
Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials. CoRR abs/1903.01026 (2019)
Coauthor Index
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