Steven H. H. Ding

According to our database, Steven H. H. Ding authored at least 45 papers between 2015 and 2024.

Collaborative distances:

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

2024

An empirical study on developers' shared conversations with ChatGPT in GitHub pull requests and issues.

Huizi Hao, Kazi Amit Hasan, Hong Qin, Marcos Macedo, Yuan Tian, Steven H. H. Ding, Ahmed E. Hassan

Empir. Softw. Eng., November, 2024

VeriBin: A Malware Authorship Verification Approach for APT Tracking through Explainable and Functionality-Debiasing Adversarial Representation Learning.

Weihan Ou, Steven H. H. Ding, Mohammad Zulkernine, Li Tao Li, Sarah Labrosse

ACM Trans. Priv. Secur., August, 2024

Asm2Seq: Explainable Assembly Code Functional Summary Generation for Reverse Engineering and Vulnerability Analysis.

Scarlett Taviss, Steven H. H. Ding, Mohammad Zulkernine, Philippe Charland, Sudipta Acharya

DTRAP, 2024

Chain-of-Experts (CoE): Reverse Engineering Software Bills of Materials for JavaScript Application Bundles through Code Clone Search.

Leo Song, Steven H. H. Ding, Yuan Tian, Li Tao Li, Philippe Charland, Andrew Walenstein

CoRR, 2024

Dynamic Neural Control Flow Execution: An Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection.

Litao Li, Steven H. H. Ding, Andrew Walenstein, Philippe Charland, Benjamin C. M. Fung

CoRR, 2024

Automating SBOM Generation with Zero-Shot Semantic Similarity.

Devin Pereira, Christopher Molloy, Sudipta Acharya, Steven H. H. Ding

CoRR, 2024

A First Look at Self-Admitted Miscommunications in GitHub Issues.

Kazi Amit Hasan, Vu Thanh Loc Mai, Cynthia Wang, Yuan Tian, Steven H. H. Ding

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2024

Accelerating Autonomous Cyber Operations: A Symbolic Logic Planner Guided Reinforcement Learning Approach.

Ryan Kerr, Steven H. H. Ding, Li Li, Adrian Taylor

Proceedings of the International Conference on Computing, Networking and Communications, 2024

Ch4os: Discretized Generative Adversarial Network for Functionality-Preserving Evasive Modification on Malware.

Christopher Molloy, Furkan Alaca, Steven H. H. Ding

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

ERS0: Enhancing Military Cybersecurity with AI-Driven SBOM for Firmware Vulnerability Detection and Asset Management.

Max Beninger, Philippe Charland, Steven H. H. Ding, Benjamin C. M. Fung

Proceedings of the 16th International Conference on Cyber Conflict: Over the Horizon, 2024

Dynamic Neural Control Flow Execution: an Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection.

Li Tao Li, Steven H. H. Ding, Andrew Walenstein, Philippe Charland, Benjamin C. M. Fung

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

TDRLM: Stylometric learning for authorship verification by Topic-Debiasing.

Xinyu Hu, Weihan Ou, Sudipta Acharya, Steven H. H. Ding, Ryan D'Gama, Hanbo Yu

Expert Syst. Appl., December, 2023

VulANalyzeR: Explainable Binary Vulnerability Detection with Multi-task Learning and Attentional Graph Convolution.

Litao Li, Steven H. H. Ding, Yuan Tian, Benjamin C. M. Fung, Philippe Charland, Weihan Ou, Leo Song, Congwei Chen

ACM Trans. Priv. Secur., August, 2023

AIM: An Android Interpretable Malware detector based on application class modeling.

Farnood Faghihi, Mohammad Zulkernine, Steven H. H. Ding

J. Inf. Secur. Appl., June, 2023

D2D-MAP: A Drone to Drone Authentication Protocol Using Physical Unclonable Functions.

Karim Lounis, Steven H. H. Ding, Mohammad Zulkernine

IEEE Trans. Veh. Technol., April, 2023

SCS-Gan: Learning Functionality-Agnostic Stylometric Representations for Source Code Authorship Verification.

Weihan Ou, Steven H. H. Ding, Yuan Tian, Leo Song

IEEE Trans. Software Eng., April, 2023

Pluvio: Assembly Clone Search for Out-of-domain Architectures and Libraries through Transfer Learning and Conditional Variational Information Bottleneck.

Zhiwei Fu, Steven H. H. Ding, Furkan Alaca, Benjamin C. M. Fung, Philippe Charland

CoRR, 2023

Understanding the Time to First Response in GitHub Pull Requests.

Kazi Amit Hasan, Marcos Macedo, Yuan Tian, Bram Adams, Steven H. H. Ding

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

GenTAL: Generative Denoising Skip-gram Transformer for Unsupervised Binary Code Similarity Detection.

Li Tao Li, Steven H. H. Ding, Philippe Charland

Proceedings of the International Joint Conference on Neural Networks, 2023

Unmasking of Maskware: Detection and Prevention of Next-Generation Mobile Crypto-Ransomware.

Farnood Faghihi, Mohammad Zulkernine, Steven H. H. Ding

Proceedings of the Foundations and Practice of Security - 16th International Symposium, 2023

Milo: Attacking Deep Pre-trained Model for Programming Languages Tasks with Anti-analysis Code Obfuscation.

Leo Song, Steven H. H. Ding

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

MaGnn: Binary-Source Code Matching by Modality-Sharing Graph Convolution for Binary Provenance Analysis.

Weihan Ou, Steven H. H. Ding

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Variational Autoencoder with Temporal Condition for Effective Shape-based Calcium Imaging Neuron Registration.

Cyrus Y. H. Fung, Sudipta Acharya, Tak Pan Wong, Steven H. H. Ding

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

AdaptIDS: Adaptive Intrusion Detection for Mission-Critical Aerospace Vehicles.

Marwa A. Elsayed, Michael Wrana, Ziad Mansour, Karim Lounis, Steven H. H. Ding, Mohammad Zulkernine

IEEE Trans. Intell. Transp. Syst., 2022

OD1NF1ST: True Skip Intrusion Detection and Avionics Network Cyber-attack Simulation.

Michael Wrana, Marwa Elsayed, Karim Lounis, Ziad Mansour, Steven H. H. Ding, Mohammad Zulkernine

ACM Trans. Cyber Phys. Syst., 2022

A Review and Analysis of Attack Vectors on MIL-STD-1553 Communication Bus.

Karim Lounis, Ziad Mansour, Michael Wrana, Marwa A. Elsayed, Steven H. H. Ding, Mohammad Zulkernine

IEEE Trans. Aerosp. Electron. Syst., 2022

CamoDroid: An Android application analysis environment resilient against sandbox evasion.

Farnood Faghihi, Mohammad Zulkernine, Steven H. H. Ding

J. Syst. Archit., 2022

TASR: Adversarial learning of topic-agnostic stylometric representations for informed crisis response through social media.

Litao Li, Rylen Sampson, Steven H. H. Ding, Leo Song

Inf. Process. Manag., 2022

SV1DUR: A Real-Time MIL-STD-1553 Bus Simulator with Flight Subsystems for Cyber-Attack Modeling and Assessments.

Jeremy Banks, Ryan Kerr, Steven H. H. Ding, Mohammad Zulkernine

Proceedings of the IEEE Military Communications Conference, 2022

Adversarial Variational Modality Reconstruction and Regularization for Zero-Day Malware Variants Similarity Detection.

Christopher Molloy, Jeremy Banks, Steven H. H. Ding, Philippe Charland, Andrew Walenstein, Litao Li

Proceedings of the IEEE International Conference on Data Mining, 2022

JARV1S: Phenotype Clone Search for Rapid Zero-Day Malware Triage and Functional Decomposition for Cyber Threat Intelligence.

Christopher Molloy, Philippe Charland, Steven H. H. Ding, Benjamin C. M. Fung

Proceedings of the 14th International Conference on Cyber Conflict: Keep Moving!, 2022

H4rm0ny: A Competitive Zero-Sum Two-Player Markov Game for Multi-Agent Learning on Evasive Malware Generation and Detection.

Christopher Molloy, Steven H. H. Ding, Benjamin C. M. Fung, Philippe Charland

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2022

2021

Detecting High-Engaging Breaking News Rumors in Social Media.

Sarah A. Alkhodair, Benjamin C. M. Fung, Steven H. H. Ding, William K. Cheung, Shih-Chia Huang

ACM Trans. Manag. Inf. Syst., 2021

<i>I-MAD</i>: Interpretable malware detector using Galaxy Transformer.

Miles Q. Li, Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding

Comput. Secur., 2021

ER-AE: Differentially Private Text Generation for Authorship Anonymization.

Haohan Bo, Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Novel and Dedicated Machine Learning Model for Malware Classification.

Miles Q. Li, Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding

Proceedings of the 16th International Conference on Software Technologies, 2021

Cut It: Deauthentication Attacks on Protected Management Frames in WPA2 and WPA3.

Karim Lounis, Steven H. H. Ding, Mohammad Zulkernine

Proceedings of the Foundations and Practice of Security - 14th International Symposium, 2021

2020

Detecting breaking news rumors of emerging topics in social media.

Sarah A. Alkhodair, Steven H. H. Ding, Benjamin C. M. Fung, Junqiang Liu

Inf. Process. Manag., 2020

2019

Learning Stylometric Representations for Authorship Analysis.

Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal, William K. Cheung

IEEE Trans. Cybern., 2019

Arabic Authorship Attribution: An Extensive Study on Twitter Posts.

Malik H. Altakrori, Farkhund Iqbal, Benjamin C. M. Fung, Steven H. H. Ding, Abdallah Tubaishat

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019

I-MAD: A Novel Interpretable Malware Detector Using Hierarchical Transformer.

Miles Q. Li, Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding

CoRR, 2019

Asm2Vec: Boosting Static Representation Robustness for Binary Clone Search against Code Obfuscation and Compiler Optimization.

Steven H. H. Ding, Benjamin C. M. Fung, Philippe Charland

Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

2018

The Haply Development Platform: A Modular and Open-Sourced Entry Level Haptic Toolset.

Steven H. H. Ding, Colin R. Gallacher

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2016

Kam1n0: MapReduce-based Assembly Clone Search for Reverse Engineering.

Steven H. H. Ding, Benjamin C. M. Fung, Philippe Charland

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

A Visualizable Evidence-Driven Approach for Authorship Attribution.

Steven H. H. Ding, Benjamin C. M. Fung, Mourad Debbabi

ACM Trans. Inf. Syst. Secur., 2015