Aminollah Khormali

According to our database, Aminollah Khormali authored at least 24 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Self-Supervised Graph Transformer for Deepfake Detection.

Aminollah Khormali, Jiann-Shiun Yuan

CoRR, 2023

Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction.

Lin Qiu, Aminollah Khormali, Kai Liu

CoRR, 2023

2021

Corrigendum to "Domain name system security and privacy: A contemporary survey" Computer Networks Volume 185 (2020) 107699.

Aminollah Khormali, Jeman Park, Hisham Alasmary, Afsah Anwar, Muhammad Saad, David Mohaisen

Comput. Networks, 2021

Domain name system security and privacy: A contemporary survey.

Aminollah Khormali, Jeman Park, Hisham Alasmary, Afsah Anwar, Muhammad Saad, David Mohaisen

Comput. Networks, 2021

ADD: Attention-Based DeepFake Detection Approach.

Aminollah Khormali, Jiann-Shiun Yuan

Big Data Cogn. Comput., 2021

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

Generating Adversarial Examples with an Optimized Quality.

Aminollah Khormali, DaeHun Nyang, David Mohaisen

CoRR, 2020

Domain Name System Security and Privacy: A Contemporary Survey.

Aminollah Khormali, Jeman Park, Hisham Alasmary, Afsah Anwar, David Mohaisen

CoRR, 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

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

From Blue-Sky to Practical Adversarial Learning.

Aminollah Khormali, Ahmed Abusnaina, Songqing Chen, DaeHun Nyang, David Mohaisen

Proceedings of the Second IEEE International Conference on Trust, 2020

DFD: Adversarial Learning-based Approach to Defend Against Website Fingerprinting.

Ahmed Abusnaina, Rhongho Jang, Aminollah Khormali, DaeHun Nyang, David Mohaisen

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019

Analyzing and Detecting Emerging Internet of Things Malware: A Graph-Based Approach.

Hisham Alasmary, Aminollah Khormali, Afsah Anwar, Jeman Park, Jinchun Choi, Ahmed Abusnaina, Amro Awad, DaeHun Nyang, Aziz Mohaisen

IEEE Internet Things J., 2019

COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection.

Aminollah Khormali, Ahmed Abusnaina, Songqing Chen, DaeHun Nyang, Aziz Mohaisen

CoRR, 2019

Examining Adversarial Learning against Graph-based IoT Malware Detection Systems.

Ahmed Abusnaina, Aminollah Khormali, Hisham Alasmary, Jeman Park, Afsah Anwar, Ulku Meteriz, Aziz Mohaisen

CoRR, 2019

Analyzing, Comparing, and Detecting Emerging Malware: A Graph-based Approach.

Hisham Alasmary, Aminollah Khormali, Afsah Anwar, Jeman Park, Jinchun Choi, DaeHun Nyang, Aziz Mohaisen

CoRR, 2019

Breaking graph-based IoT malware detection systems using adversarial examples: poster.

Ahmed Abusnaina, Aminollah Khormali, Hisham Alasmary, Jeman Park, Afsah Anwar, Ulku Meteriz, Aziz Mohaisen

Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks, 2019

Adversarial Learning Attacks on Graph-based IoT Malware Detection Systems.

Ahmed Abusnaina, Aminollah Khormali, Hisham Alasmary, Jeman Park, Afsah Anwar, Aziz Mohaisen

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Dine and Dash: Static, Dynamic, and Economic Analysis of In-Browser Cryptojacking.

Muhammad Saad, Aminollah Khormali, Aziz Mohaisen

Proceedings of the 2019 APWG Symposium on Electronic Crime Research, 2019

Where Are You Taking Me? Behavioral Analysis of Open DNS Resolvers.

Jeman Park, Aminollah Khormali, Manar Mohaisen, Aziz Mohaisen

Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

Examining the Robustness of Learning-Based DDoS Detection in Software Defined Networks.

Ahmed Abusnaina, Aminollah Khormali, DaeHun Nyang, Murat Yuksel, Aziz Mohaisen

Proceedings of the 2019 IEEE Conference on Dependable and Secure Computing, 2019

2018

End-to-End Analysis of In-Browser Cryptojacking.

Muhammad Saad, Aminollah Khormali, Aziz Mohaisen

CoRR, 2018

Understanding the Hidden Cost of Software Vulnerabilities: Measurements and Predictions.

Afsah Anwar, Aminollah Khormali, DaeHun Nyang, Aziz Mohaisen

Proceedings of the Security and Privacy in Communication Networks, 2018

POSTER: Understanding the Hidden Cost of Software Vulnerabilities: Measurements and Predictions.

Afsah Anwar, Aminollah Khormali, Aziz Mohaisen

Proceedings of the 2018 on Asia Conference on Computer and Communications Security, 2018