Improvement of Recovery in Segmentation-Based Parallel Compressive Sensing. - Dipayan Mitra; Hadi Zanddizari; Sreeraman Rajan (ISSPIT, 2018)

Improvement of Signal Quality During Recovery of Compressively Sensed ECG Signals. - Dipayan Mitra; Hadi Zanddizari; Sreeraman Rajan (MeMeA, 2018)

Blind Deterministic Compressive Sensing for Biomedical Images. - Hadi Zanddizari; Dipayan Mitra; Sreeraman Rajan (MeMeA, 2020)

Investigation of Kronecker-Based Recovery of Compressed ECG Signal. - Dipayan Mitra; Hadi Zanddizari; Sreeraman Rajan (IEEE Trans. Instrum. Meas., 2020)

Image Super-Resolution Through Compressive Sensing-based Recovery. - Hadi Zanddizari; Ankita Dey; Sreeraman Rajan (EMBC, 2021)

Generating Black-Box Adversarial Examples in Sparse Domain. - Hadi Zanddizari; J. Morris Chang (CoRR, 2021)

A new preprocessing approach to improve the performance of CNN-based skin lesion classification. - Hadi Zanddizari; Nam Nguyen 003; Behnam Zeinali; J. Morris Chang (Medical Biol. Eng. Comput., 2021)

Privacy Assured Recovery of Compressively Sensed ECG Signals. - Hadi Zanddizari; Sreeraman Rajan; Houman Zarrabi; Hassan Rabah (IEEE Access, 2022)

IMUNet: Efficient Regression Architecture for IMU Navigation and Positioning. - Behnam Zeinali; Hadi Zanddizari; J. Morris Chang (CoRR, 2022)

Generating Black-Box Adversarial Examples in Sparse Domain. - Hadi Zanddizari; Behnam Zeinali; J. Morris Chang (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Improving Robustness of Deep Learning Models and Privacy-Preserving Image Denoising. - Hadi Zanddizari (2022)

Federated Learning Approach for Distributed Ransomware Analysis. - Aldin Vehabovic; Hadi Zanddizari; Farook Shaikh; Nasir Ghani; Morteza Safaei Pour; Elias Bou-Harb; Jorge Crichigno (ACNS Workshops, 2023)

Data-Centric Machine Learning Approach for Early Ransomware Detection and Attribution. - Aldin Vehabovic; Hadi Zanddizari; Nasir Ghani; Farooq Shaikh; Elias Bou-Harb; Morteza Safaei Pour; Jorge Crichigno (NOMS, 2023)

Towards Implementing Energy-aware Data-driven Intelligence for Smart Health Applications on Mobile Platforms. - G. Dumindu Samaraweera; Hung Nguyen 008; Hadi Zanddizari; Behnam Zeinali; J. Morris Chang (CoRR, 2023)

Federated Learning Approach for Distributed Ransomware Analysis. - Aldin Vehabovic; Hadi Zanddizari; Farooq Shaikh; Nasir Ghani; Morteza Safaei Pour; Elias Bou-Harb; Jorge Crichigno (CoRR, 2023)

Ransomware Detection Using Federated Learning with Imbalanced Datasets. - Aldin Vehabovic; Hadi Zanddizari; Nasir Ghani; G. Javidi; A. Selcuk Uluagac; Mohamed Rahouti; Elias Bou-Harb; Morteza Safaei Pour (CoRR, 2023)

Jbeil: Temporal Graph-Based Inductive Learning to Infer Lateral Movement in Evolving Enterprise Networks. - Joseph Khoury; Dorde Klisura; Hadi Zanddizari; Gonzalo De La Torre Parra; Peyman Najafirad; Elias Bou-Harb (SP, 2024)

IMUNet: Efficient Regression Architecture for Inertial IMU Navigation and Positioning. - Behnam Zeinali; Hadi Zanddizari; J. Morris Chang (IEEE Trans. Instrum. Meas., 2024)