Steven H. H. Ding

62 papers A* 3A 3B 4C 1Misc 2Journal 37Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Security risk assessment of android automotive OS software supply chain using firmware reverse engineering.
Comput. Secur.
Hanbo Yu, Faiyaz Khan, Steven H. H. Ding, Junjie Wu, Natalia Stakhanova, Benjamin C. M. Fung
2025 J jnl
Beyond Embeddings: Interpretable Feature Extraction for Binary Code Similarity.
CoRR
Charles E. Gagnon, Steven H. H. Ding, Philippe Charland, Benjamin C. M. Fung
2025 — conf
MalGPT: A Generative Explainable Model for Malware Binaries.
ECML/PKDD (4)
Mohd Saqib, Benjamin C. M. Fung, Steven H. H. Ding, Philippe Charland
2025 J jnl
Mecha: A Neural-Symbolic Open-Set Homogeneous Decision Fusion Approach for Zero-Day Malware Similarity Detection.
IEEE Trans. Software Eng.
Christopher Molloy, Jeremy Banks, Steven H. H. Ding, Furkan Alaca, Philippe Charland, Andrew Walenstein
2025 J jnl
NeuroYara: Learning to Rank for Yara Rules Generation Through Deep Language Modeling and Discriminative N-Gram Encoding.
IEEE Trans. Dependable Secur. Comput.
Ziad Mansour, Weihan Ou, Steven H. H. Ding, Mohammad Zulkernine, Philippe Charland
2025 J jnl
Obfuscated Clone Search in JavaScript based on Reinforcement Subsequence Learning.
ACM Trans. Softw. Eng. Methodol.
Leo Song, Steven H. H. Ding, Yuan Tian, Li Tao Li, Weihan Ou, Philippe Charland, Andrew Walenstein
2025 B conf
ProvSpider: A Robust and Universal Toolkit for Binary Provenance Analysis Using Deep Learning.
NCA
Zhiwei Fu, Hanbo Yu, Xinyu Hu, Steven H. H. Ding, Furkan Alaca, Philippe Charland
2025 J jnl
PulseAnomaly: Unsupervised Anomaly Detection on Avionic Platforms With Seasonality and Trend Modeling in Transformer Networks.
IEEE Trans. Dependable Secur. Comput.
Hanbo Yu, Sudipta Acharya, Steven H. H. Ding, Mohammad Zulkernine
2025 J jnl
Semantic-Aware Fuzzing: An Empirical Framework for LLM-Guided, Reasoning-Driven Input Mutation.
CoRR
Mengdi Lu, Steven H. H. Ding, Furkan Alaca, Philippe Charland
2025 J jnl
SoK: Potentials and Challenges of Large Language Models for Reverse Engineering.
CoRR
Xinyu Hu, Zhiwei Fu, Shaocong Xie, Steven H. H. Ding, Philippe Charland
2025 — conf
TALME: Topical Adversarial LLM-based Misinformation Enforcer.
ICAAI
Xinyu Hu, Hanbo Yu, Zhiwei Fu, Steven H. H. Ding, Benjamin C. M. Fung, Devin Pereira, Jun Meng
2025 J jnl
Toward a Robust Detection of PowerShell Malware against Code Mixing and Obfuscation by Using Sentence Transformer and Similarity Learning.
ACM Trans. Priv. Secur.
Zhiwei Fu, Leo Song, Steven H. H. Ding, Furkan Alaca, Sudipta Acharya
2025 A conf
Understanding Abandonment and Slowdown Dynamics in the Maven Ecosystem.
MSR
Kazi Amit Hasan, Jerin Yasmin, Huizi Hao, Yuan Tian, Safwat Hassan, Steven H. H. Ding
2025 J jnl
Understanding Abandonment and Slowdown Dynamics in the Maven Ecosystem.
CoRR
Kazi Amit Hasan, Jerin Yasmin, Huizi Hao, Yuan Tian, Safwat Hassan, Steven H. H. Ding
2024 — conf
A First Look at Self-Admitted Miscommunications in GitHub Issues.
ASE Workshops
Kazi Amit Hasan, Vu Thanh Loc Mai, Cynthia Wang, Yuan Tian, Steven H. H. Ding
2024 Misc conf
Accelerating Autonomous Cyber Operations: A Symbolic Logic Planner Guided Reinforcement Learning Approach.
ICNC
Ryan Kerr, Steven H. H. Ding, Li Li, Adrian Taylor
2024 J jnl
An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues.
CoRR
Huizi Hao, Kazi Amit Hasan, Hong Qin, Marcos Macedo, Yuan Tian, Steven H. H. Ding, Ahmed E. Hassan
2024 J jnl
An empirical study on developers' shared conversations with ChatGPT in GitHub pull requests and issues.
Empir. Softw. Eng.
Huizi Hao, Kazi Amit Hasan, Hong Qin, Marcos Macedo, Yuan Tian, Steven H. H. Ding, Ahmed E. Hassan
2024 J jnl
Asm2Seq: Explainable Assembly Code Functional Summary Generation for Reverse Engineering and Vulnerability Analysis.
DTRAP
Scarlett Taviss, Steven H. H. Ding, Mohammad Zulkernine, Philippe Charland, Sudipta Acharya
2024 J jnl
Automating SBOM Generation with Zero-Shot Semantic Similarity.
CoRR
Devin Pereira, Christopher Molloy, Sudipta Acharya, Steven H. H. Ding
2024 — conf
Ch4os: Discretized Generative Adversarial Network for Functionality-Preserving Evasive Modification on Malware.
ICANN (9)
Christopher Molloy, Furkan Alaca, Steven H. H. Ding
2024 J jnl
Chain-of-Experts (CoE): Reverse Engineering Software Bills of Materials for JavaScript Application Bundles through Code Clone Search.
CoRR
Leo Song, Steven H. H. Ding, Yuan Tian, Li Tao Li, Philippe Charland, Andrew Walenstein
2024 J jnl
Dynamic Neural Control Flow Execution: An Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection.
CoRR
Litao Li, Steven H. H. Ding, Andrew Walenstein, Philippe Charland, Benjamin C. M. Fung
2024 A conf
Dynamic Neural Control Flow Execution: an Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection.
CIKM
Li Tao Li, Steven H. H. Ding, Andrew Walenstein, Philippe Charland, Benjamin C. M. Fung
2024 — conf
ERS0: Enhancing Military Cybersecurity with AI-Driven SBOM for Firmware Vulnerability Detection and Asset Management.
CyCon
Max Beninger, Philippe Charland, Steven H. H. Ding, Benjamin C. M. Fung
2024 J jnl
VeriBin: A Malware Authorship Verification Approach for APT Tracking through Explainable and Functionality-Debiasing Adversarial Representation Learning.
ACM Trans. Priv. Secur.
Weihan Ou, Steven H. H. Ding, Mohammad Zulkernine, Li Tao Li, Sarah Labrosse
2023 J jnl
AIM: An Android Interpretable Malware detector based on application class modeling.
J. Inf. Secur. Appl.
Farnood Faghihi, Mohammad Zulkernine, Steven H. H. Ding
2023 J jnl
D2D-MAP: A Drone to Drone Authentication Protocol Using Physical Unclonable Functions.
IEEE Trans. Veh. Technol.
Karim Lounis, Steven H. H. Ding, Mohammad Zulkernine
2023 B conf
GenTAL: Generative Denoising Skip-gram Transformer for Unsupervised Binary Code Similarity Detection.
IJCNN
Li Tao Li, Steven H. H. Ding, Philippe Charland
2023 B conf
MaGnn: Binary-Source Code Matching by Modality-Sharing Graph Convolution for Binary Provenance Analysis.
COMPSAC
Weihan Ou, Steven H. H. Ding
2023 B conf
Milo: Attacking Deep Pre-trained Model for Programming Languages Tasks with Anti-analysis Code Obfuscation.
COMPSAC
Leo Song, Steven H. H. Ding
2023 J jnl
Pluvio: Assembly Clone Search for Out-of-domain Architectures and Libraries through Transfer Learning and Conditional Variational Information Bottleneck.
CoRR
Zhiwei Fu, Steven H. H. Ding, Furkan Alaca, Benjamin C. M. Fung, Philippe Charland
2023 J jnl
SCS-Gan: Learning Functionality-Agnostic Stylometric Representations for Source Code Authorship Verification.
IEEE Trans. Software Eng.
Weihan Ou, Steven H. H. Ding, Yuan Tian, Leo Song
2023 J jnl
TDRLM: Stylometric learning for authorship verification by Topic-Debiasing.
Expert Syst. Appl.
Xinyu Hu, Weihan Ou, Sudipta Acharya, Steven H. H. Ding, Ryan D'Gama, Hanbo Yu
2023 J jnl
Understanding the Time to First Response In GitHub Pull Requests.
CoRR
Kazi Amit Hasan, Marcos Macedo, Yuan Tian, Bram Adams, Steven H. H. Ding
2023 A conf
Understanding the Time to First Response in GitHub Pull Requests.
MSR
Kazi Amit Hasan, Marcos Macedo, Yuan Tian, Bram Adams, Steven H. H. Ding
2023 — conf
Unmasking of Maskware: Detection and Prevention of Next-Generation Mobile Crypto-Ransomware.
FPS (1)
Farnood Faghihi, Mohammad Zulkernine, Steven H. H. Ding
2023 — conf
Variational Autoencoder with Temporal Condition for Effective Shape-based Calcium Imaging Neuron Registration.
BIBM
Cyrus Y. H. Fung, Sudipta Acharya, Tak Pan Wong, Steven H. H. Ding
2023 J jnl
VulANalyzeR: Explainable Binary Vulnerability Detection with Multi-task Learning and Attentional Graph Convolution.
ACM Trans. Priv. Secur.
Litao Li, Steven H. H. Ding, Yuan Tian, Benjamin C. M. Fung, Philippe Charland, Weihan Ou, Leo Song, Congwei Chen
2022 J jnl
A Review and Analysis of Attack Vectors on MIL-STD-1553 Communication Bus.
IEEE Trans. Aerosp. Electron. Syst.
Karim Lounis, Ziad Mansour, Michael Wrana, Marwa A. Elsayed, Steven H. H. Ding, Mohammad Zulkernine
2022 J jnl
AdaptIDS: Adaptive Intrusion Detection for Mission-Critical Aerospace Vehicles.
IEEE Trans. Intell. Transp. Syst.
Marwa A. Elsayed, Michael Wrana, Ziad Mansour, Karim Lounis, Steven H. H. Ding, Mohammad Zulkernine
2022 A* conf
Adversarial Variational Modality Reconstruction and Regularization for Zero-Day Malware Variants Similarity Detection.
ICDM
Christopher Molloy, Jeremy Banks, Steven H. H. Ding, Philippe Charland, Andrew Walenstein, Litao Li
2022 J jnl
CamoDroid: An Android application analysis environment resilient against sandbox evasion.
J. Syst. Archit.
Farnood Faghihi, Mohammad Zulkernine, Steven H. H. Ding
2022 Misc conf
H4rm0ny: A Competitive Zero-Sum Two-Player Markov Game for Multi-Agent Learning on Evasive Malware Generation and Detection.
CSR
Christopher Molloy, Steven H. H. Ding, Benjamin C. M. Fung, Philippe Charland
2022 — conf
JARV1S: Phenotype Clone Search for Rapid Zero-Day Malware Triage and Functional Decomposition for Cyber Threat Intelligence.
CyCom
Christopher Molloy, Philippe Charland, Steven H. H. Ding, Benjamin C. M. Fung
2022 J jnl
OD1NF1ST: True Skip Intrusion Detection and Avionics Network Cyber-attack Simulation.
ACM Trans. Cyber Phys. Syst.
Michael Wrana, Marwa Elsayed, Karim Lounis, Ziad Mansour, Steven H. H. Ding, Mohammad Zulkernine
2022 — conf
SV1DUR: A Real-Time MIL-STD-1553 Bus Simulator with Flight Subsystems for Cyber-Attack Modeling and Assessments.
MILCOM
Jeremy Banks, Ryan Kerr, Steven H. H. Ding, Mohammad Zulkernine
2022 J jnl
TASR: Adversarial learning of topic-agnostic stylometric representations for informed crisis response through social media.
Inf. Process. Manag.
Litao Li, Rylen Sampson, Steven H. H. Ding, Leo Song
2021 C conf
A Novel and Dedicated Machine Learning Model for Malware Classification.
ICSOFT
Miles Q. Li, Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding
2021 — conf
Cut It: Deauthentication Attacks on Protected Management Frames in WPA2 and WPA3.
FPS
Karim Lounis, Steven H. H. Ding, Mohammad Zulkernine
2021 J jnl
Detecting High-Engaging Breaking News Rumors in Social Media.
ACM Trans. Manag. Inf. Syst.
Sarah A. Alkhodair, Benjamin C. M. Fung, Steven H. H. Ding, William K. Cheung, Shih-Chia Huang
2021 — conf
ER-AE: Differentially Private Text Generation for Authorship Anonymization.
NAACL-HLT
Haohan Bo, Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal
2020 J jnl
Detecting breaking news rumors of emerging topics in social media.
Inf. Process. Manag.
Sarah A. Alkhodair, Steven H. H. Ding, Benjamin C. M. Fung, Junqiang Liu
2019 J jnl
Arabic Authorship Attribution: An Extensive Study on Twitter Posts.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Malik H. Altakrori, Farkhund Iqbal, Benjamin C. M. Fung, Steven H. H. Ding, Abdallah Tubaishat
2019 A* conf
Asm2Vec: Boosting Static Representation Robustness for Binary Clone Search against Code Obfuscation and Compiler Optimization.
IEEE Symposium on Security and Privacy
Steven H. H. Ding, Benjamin C. M. Fung, Philippe Charland
2019 J jnl
ER-AE: Differentially-private Text Generation for Authorship Anonymization.
CoRR
Haohan Bo, Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal
2019 J jnl
I-MAD: A Novel Interpretable Malware Detector Using Hierarchical Transformer.
CoRR
Miles Q. Li, Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding
2019 J jnl
Learning Stylometric Representations for Authorship Analysis.
IEEE Trans. Cybern.
Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal, William K. Cheung
2018 — conf
The Haply Development Platform: A Modular and Open-Sourced Entry Level Haptic Toolset.
CHI Extended Abstracts
Steven H. H. Ding, Colin R. Gallacher
2016 A* conf
Kam1n0: MapReduce-based Assembly Clone Search for Reverse Engineering.
KDD
Steven H. H. Ding, Benjamin C. M. Fung, Philippe Charland
2016 J jnl
Learning Stylometric Representations for Authorship Analysis.
CoRR
Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal, William K. Cheung
2015 J jnl
A Visualizable Evidence-Driven Approach for Authorship Attribution.
ACM Trans. Inf. Syst. Secur.
Steven H. H. Ding, Benjamin C. M. Fung, Mourad Debbabi