Hossein Aboutalebi

23 papers A* 2Journal 17Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating. IEEE Access Hossein Aboutalebi, Mohammad Javad Shafiee, Chi-En Amy Tai, Alexander Wong
2024	—	`conf`	MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets. NAACL-HLT Hossein Aboutalebi, Hwanjun Song, Yusheng Xie, Arshit Gupta, Lijia Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour
2024	J	`jnl`	MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets. CoRR Hossein Aboutalebi, Hwanjun Song, Yusheng Xie, Arshit Gupta, Justin Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour
2023	J	`jnl`	DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection. CoRR Hossein Aboutalebi, Dayou Mao, Carol Xu, Alexander Wong
2023	J	`jnl`	Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning. IEEE Access Maziar Gomrokchi, Susan Amin, Hossein Aboutalebi, Alexander Wong, Doina Precup
2022	J	`jnl`	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 Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Adrian Florea, Andrew Hryniowski, Alexander Wong
2022	J	`jnl`	COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics. CoRR Maya Pavlova, Tia Tuinstra, Hossein Aboutalebi, Andy Zhao, Hayden Gunraj, Alexander Wong
2021	J	`jnl`	COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images. CoRR Hossein Aboutalebi, Saad Abbasi, Mohammad Javad Shafiee, Alexander Wong
2021	J	`jnl`	COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images. CoRR Maya Pavlova, Naomi Terhljan, Audrey G. Chung, Andy Zhao, Siddharth Surana, Hossein Aboutalebi, Hayden Gunraj, Ali Sabri, Amer Alaref, Alexander Wong
2021	J	`jnl`	COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images. CoRR Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong
2021	—	`conf`	COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. CCECE Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong
2021	J	`jnl`	COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. CoRR Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong
2021	A*	`conf`	Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards. ICML Susan Amin, Maziar Gomrokchi, Hossein Aboutalebi, Harsh Satija, Doina Precup
2021	J	`jnl`	MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis. CoRR Hossein Aboutalebi, Maya Pavlova, Hayden Gunraj, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong
2021	J	`jnl`	Residual Error: a New Performance Measure for Adversarial Robustness. CoRR Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
2021	J	`jnl`	Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning. CoRR Maziar Gomrokchi, Susan Amin, Hossein Aboutalebi, Alexander Wong, Doina Precup
2020	J	`jnl`	Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards. CoRR Susan Amin, Maziar Gomrokchi, Hossein Aboutalebi, Harsh Satija, Doina Precup
2020	J	`jnl`	Self-Gradient Networks. CoRR Hossein Aboutalebi, Mohammad Javad Shafiee, Alexander Wong
2020	J	`jnl`	Vulnerability Under Adversarial Machine Learning: Bias or Variance? CoRR Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
2019	—	`conf`	Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials. AISafety@IJCAI Hossein Aboutalebi, Doina Precup, Tibor Schuster
2019	J	`jnl`	Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials. CoRR Hossein Aboutalebi, Doina Precup, Tibor Schuster
2019	—	`conf`	Learning Reliable Policies in the Bandit Setting with Application to Adaptive Clinical Trials. KDH@IJCAI Hossein Aboutalebi, Doina Precup, Tibor Schuster
2018	A*	`conf`	Learning Predictive State Representations From Non-Uniform Sampling. AAAI Yuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle, Doina Precup