Hossein Aboutalebi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Reinforcement Learning

Clinical Trials

Top Venues

Publications

Hossein Aboutalebi, Mohammad Javad Shafiee, Chi-En Amy Tai, Alexander Wong
Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating. IEEE Access 12 (2024)
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 (2024)
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)
Maziar Gomrokchi, Susan Amin, Hossein Aboutalebi, Alexander Wong, Doina Precup
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning. IEEE Access 11 (2023)
Hossein Aboutalebi, Daniel Mao, Carol Xu, Alexander Wong
DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection. CoRR (2023)
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 (2022)
Maya Pavlova, Tia Tuinstra, Hossein Aboutalebi, Andy Zhao, Hayden Gunraj, Alexander Wong
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics. CoRR (2022)
Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
Residual Error: a New Performance Measure for Adversarial Robustness. CoRR (2021)
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 (2021)
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 (2021)
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 (2021)
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. CCECE (2021)
Susan Amin, Maziar Gomrokchi, Hossein Aboutalebi, Harsh Satija, Doina Precup
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards. ICML (2021)
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 (2021)
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 (2021)
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 (2021)
Hossein Aboutalebi, Mohammad Javad Shafiee, Alexander Wong
Self-Gradient Networks. CoRR (2020)
Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
Vulnerability Under Adversarial Machine Learning: Bias or Variance? CoRR (2020)
Susan Amin, Maziar Gomrokchi, Hossein Aboutalebi, Harsh Satija, Doina Precup
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards. CoRR (2020)
Hossein Aboutalebi, Doina Precup, Tibor Schuster
Learning Reliable Policies in the Bandit Setting with Application to Adaptive Clinical Trials. KHD@IJCAI (2019)
Hossein Aboutalebi, Doina Precup, Tibor Schuster
Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials. CoRR (2019)
Hossein Aboutalebi, Doina Precup, Tibor Schuster
Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials. AISafety@IJCAI (2019)
Yuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle, Doina Precup
Learning Predictive State Representations From Non-Uniform Sampling. AAAI (2018)