POSTER: Understanding the Hidden Cost of Software Vulnerabilities: Measurements and Predictions. - Afsah Anwar; Aminollah Khormali; Aziz Mohaisen (AsiaCCS, 2018)

Understanding the Hidden Cost of Software Vulnerabilities: Measurements and Predictions. - Afsah Anwar; Aminollah Khormali; DaeHun Nyang; Aziz Mohaisen (SecureComm (1), 2018)

End-to-End Analysis of In-Browser Cryptojacking. - Muhammad Saad 001; Aminollah Khormali; Aziz Mohaisen (CoRR, 2018)

Examining the Robustness of Learning-Based DDoS Detection in Software Defined Networks. - Ahmed Abusnaina; Aminollah Khormali; DaeHun Nyang; Murat Yuksel; Aziz Mohaisen (DSC, 2019)

Where Are You Taking Me? Behavioral Analysis of Open DNS Resolvers. - Jeman Park 001; Aminollah Khormali; Manar Mohaisen; Aziz Mohaisen (DSN, 2019)

Dine and Dash: Static, Dynamic, and Economic Analysis of In-Browser Cryptojacking. - Muhammad Saad 001; Aminollah Khormali; Aziz Mohaisen (eCrime, 2019)

Adversarial Learning Attacks on Graph-based IoT Malware Detection Systems. - Ahmed Abusnaina; Aminollah Khormali; Hisham Alasmary; Jeman Park 001; Afsah Anwar; Aziz Mohaisen (ICDCS, 2019)

Breaking graph-based IoT malware detection systems using adversarial examples: poster. - Ahmed Abusnaina; Aminollah Khormali; Hisham Alasmary; Jeman Park 001; Afsah Anwar; Ulku Meteriz; Aziz Mohaisen (WiSec, 2019)

Analyzing, Comparing, and Detecting Emerging Malware: A Graph-based Approach. - Hisham Alasmary; Aminollah Khormali; Afsah Anwar; Jeman Park 001; Jinchun Choi; DaeHun Nyang; Aziz Mohaisen (CoRR, 2019)

Examining Adversarial Learning against Graph-based IoT Malware Detection Systems. - Ahmed Abusnaina; Aminollah Khormali; Hisham Alasmary; Jeman Park 001; Afsah Anwar; Ulku Meteriz; Aziz Mohaisen (CoRR, 2019)

COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection. - Aminollah Khormali; Ahmed Abusnaina; Songqing Chen; DaeHun Nyang; Aziz Mohaisen (CoRR, 2019)

Analyzing and Detecting Emerging Internet of Things Malware: A Graph-Based Approach. - Hisham Alasmary; Aminollah Khormali; Afsah Anwar; Jeman Park 001; Jinchun Choi; Ahmed Abusnaina; Amro Awad; DaeHun Nyang; Aziz Mohaisen (IEEE Internet Things J., 2019)

DFD: Adversarial Learning-based Approach to Defend Against Website Fingerprinting. - Ahmed Abusnaina; Rhongho Jang; Aminollah Khormali; DaeHun Nyang; David Mohaisen (INFOCOM, 2020)

From Blue-Sky to Practical Adversarial Learning. - Aminollah Khormali; Ahmed Abusnaina; Songqing Chen; DaeHun Nyang; David Mohaisen (TPS-ISA, 2020)

TranScreen: Transfer Learning on Graph-Based Anti-Cancer Virtual Screening Model. - Milad Salem; Aminollah Khormali; Arash Keshavarzi Arshadi; Julia Webb; Jiann-Shiun Yuan (Big Data Cogn. Comput., 2020)

Developing a Robust Defensive System against Adversarial Examples Using Generative Adversarial Networks. - Shayan Taheri; Aminollah Khormali; Milad Salem; Jiann-Shiun Yuan (Big Data Cogn. Comput., 2020)

Domain Name System Security and Privacy: A Contemporary Survey. - Aminollah Khormali; Jeman Park 001; Hisham Alasmary; Afsah Anwar; David Mohaisen (CoRR, 2020)

Generating Adversarial Examples with an Optimized Quality. - Aminollah Khormali; DaeHun Nyang; David Mohaisen (CoRR, 2020)

Measuring the Cost of Software Vulnerabilities. - Afsah Anwar; Aminollah Khormali; Jinchun Choi; Hisham Alasmary; Saeed Salem; DaeHun Nyang; David Mohaisen (EAI Endorsed Trans. Security Safety, 2020)

ADD: Attention-Based DeepFake Detection Approach. - Aminollah Khormali; Jiann-Shiun Yuan (Big Data Cogn. Comput., 2021)

Domain name system security and privacy: A contemporary survey. - Aminollah Khormali; Jeman Park 001; Hisham Alasmary; Afsah Anwar; Muhammad Saad 001; David Mohaisen (Comput. Networks, 2021)

Corrigendum to "Domain name system security and privacy: A contemporary survey" Computer Networks Volume 185 (2020) 107699. - Aminollah Khormali; Jeman Park 001; Hisham Alasmary; Afsah Anwar; Muhammad Saad 001; David Mohaisen (Comput. Networks, 2021)

Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction. - Lin Qiu; Aminollah Khormali; Kai Liu (CoRR, 2023)

Self-Supervised Graph Transformer for Deepfake Detection. - Aminollah Khormali; Jiann-Shiun Yuan (IEEE Access, 2024)