Steven H. H. Ding

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 37

Top Topics

Intrusion Detection

Authorship Attribution

Reverse Engineer

Reinforcement Learning

Top Venues

Inf. Process. Manag.

ACM Trans. Manag. Inf. Syst.

Publications

Devin Pereira, Christopher Molloy, Sudipta Acharya, Steven H. H. Ding
Automating SBOM Generation with Zero-Shot Semantic Similarity. CoRR (2024)
Litao Li, Steven H. H. Ding, Andrew Walenstein, Philippe Charland, Benjamin C. M. Fung
Dynamic Neural Control Flow Execution: An Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection. CoRR (2024)
Huizi Hao, Kazi Amit Hasan, Hong Qin, Marcos Macedo, Yuan Tian, Steven H. H. Ding, Ahmed E. Hassan
An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues. CoRR (2024)
Ryan Kerr, Steven H. H. Ding, Li Li, Adrian Taylor
Accelerating Autonomous Cyber Operations: A Symbolic Logic Planner Guided Reinforcement Learning Approach. ICNC (2024)
Cyrus Y. H. Fung, Sudipta Acharya, Tak Pan Wong, Steven H. H. Ding
Variational Autoencoder with Temporal Condition for Effective Shape-based Calcium Imaging Neuron Registration. BIBM (2023)
Weihan Ou, Steven H. H. Ding
MaGnn: Binary-Source Code Matching by Modality-Sharing Graph Convolution for Binary Provenance Analysis. COMPSAC (2023)
Zhiwei Fu, Steven H. H. Ding, Furkan Alaca, Benjamin C. M. Fung, Philippe Charland
Pluvio: Assembly Clone Search for Out-of-domain Architectures and Libraries through Transfer Learning and Conditional Variational Information Bottleneck. CoRR (2023)
Farnood Faghihi, Mohammad Zulkernine, Steven H. H. Ding
Unmasking of Maskware: Detection and Prevention of Next-Generation Mobile Crypto-Ransomware. FPS (1) (2023)
Li Tao Li, Steven H. H. Ding, Philippe Charland
GenTAL: Generative Denoising Skip-gram Transformer for Unsupervised Binary Code Similarity Detection. IJCNN (2023)
Leo Song, Steven H. H. Ding
Milo: Attacking Deep Pre-trained Model for Programming Languages Tasks with Anti-analysis Code Obfuscation. COMPSAC (2023)
Weihan Ou, Steven H. H. Ding, Yuan Tian, Leo Song
SCS-Gan: Learning Functionality-Agnostic Stylometric Representations for Source Code Authorship Verification. IEEE Trans. Software Eng. 49 (4) (2023)
Litao Li, Steven H. H. Ding, Yuan Tian, Benjamin C. M. Fung, Philippe Charland, Weihan Ou, Leo Song, Congwei Chen
VulANalyzeR: Explainable Binary Vulnerability Detection with Multi-task Learning and Attentional Graph Convolution. ACM Trans. Priv. Secur. 26 (3) (2023)
Farnood Faghihi, Mohammad Zulkernine, Steven H. H. Ding
AIM: An Android Interpretable Malware detector based on application class modeling. J. Inf. Secur. Appl. 75 (2023)
Xinyu Hu, Weihan Ou, Sudipta Acharya, Steven H. H. Ding, Ryan D'Gama, Hanbo Yu
TDRLM: Stylometric learning for authorship verification by Topic-Debiasing. Expert Syst. Appl. 233 (2023)
Karim Lounis, Steven H. H. Ding, Mohammad Zulkernine
D2D-MAP: A Drone to Drone Authentication Protocol Using Physical Unclonable Functions. IEEE Trans. Veh. Technol. 72 (4) (2023)
Litao Li, Rylen Sampson, Steven H. H. Ding, Leo Song
TASR: Adversarial learning of topic-agnostic stylometric representations for informed crisis response through social media. Inf. Process. Manag. 59 (2) (2022)
Christopher Molloy, Steven H. H. Ding, Benjamin C. M. Fung, Philippe Charland
H4rm0ny: A Competitive Zero-Sum Two-Player Markov Game for Multi-Agent Learning on Evasive Malware Generation and Detection. CSR (2022)
Marwa A. Elsayed, Michael Wrana, Ziad Mansour, Karim Lounis, Steven H. H. Ding, Mohammad Zulkernine
AdaptIDS: Adaptive Intrusion Detection for Mission-Critical Aerospace Vehicles. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Christopher Molloy, Philippe Charland, Steven H. H. Ding, Benjamin C. M. Fung
JARV1S: Phenotype Clone Search for Rapid Zero-Day Malware Triage and Functional Decomposition for Cyber Threat Intelligence. CyCom (2022)
Michael Wrana, Marwa Elsayed, Karim Lounis, Ziad Mansour, Steven H. H. Ding, Mohammad Zulkernine
OD1NF1ST: True Skip Intrusion Detection and Avionics Network Cyber-attack Simulation. ACM Trans. Cyber Phys. Syst. 6 (4) (2022)
Karim Lounis, Ziad Mansour, Michael Wrana, Marwa A. Elsayed, Steven H. H. Ding, Mohammad Zulkernine
A Review and Analysis of Attack Vectors on MIL-STD-1553 Communication Bus. IEEE Trans. Aerosp. Electron. Syst. 58 (6) (2022)
Christopher Molloy, Jeremy Banks, Steven H. H. Ding, Philippe Charland, Andrew Walenstein, Litao Li
Adversarial Variational Modality Reconstruction and Regularization for Zero-Day Malware Variants Similarity Detection. ICDM (2022)
Jeremy Banks, Ryan Kerr, Steven H. H. Ding, Mohammad Zulkernine
SV1DUR: A Real-Time MIL-STD-1553 Bus Simulator with Flight Subsystems for Cyber-Attack Modeling and Assessments. MILCOM (2022)
Farnood Faghihi, Mohammad Zulkernine, Steven H. H. Ding
CamoDroid: An Android application analysis environment resilient against sandbox evasion. J. Syst. Archit. 125 (2022)
Karim Lounis, Steven H. H. Ding, Mohammad Zulkernine
Cut It: Deauthentication Attacks on Protected Management Frames in WPA2 and WPA3. FPS (2021)
Miles Q. Li, Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding
: Interpretable malware detector using Galaxy Transformer. Comput. Secur. 108 (2021)
Sarah A. Alkhodair, Benjamin C. M. Fung, Steven H. H. Ding, William K. Cheung, Shih-Chia Huang
Detecting High-Engaging Breaking News Rumors in Social Media. ACM Trans. Manag. Inf. Syst. 12 (1) (2021)
Haohan Bo, Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal
ER-AE: Differentially Private Text Generation for Authorship Anonymization. NAACL-HLT (2021)
Miles Q. Li, Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding
A Novel and Dedicated Machine Learning Model for Malware Classification. ICSOFT (2021)
Sarah A. Alkhodair, Steven H. H. Ding, Benjamin C. M. Fung, Junqiang Liu
Detecting breaking news rumors of emerging topics in social media. Inf. Process. Manag. 57 (2) (2020)
Steven H. H. Ding, Benjamin C. M. Fung, Philippe Charland
Asm2Vec: Boosting Static Representation Robustness for Binary Clone Search against Code Obfuscation and Compiler Optimization. IEEE Symposium on Security and Privacy (2019)
Miles Q. Li, Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding
I-MAD: A Novel Interpretable Malware Detector Using Hierarchical Transformer. CoRR (2019)
Haohan Bo, Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal
ER-AE: Differentially-private Text Generation for Authorship Anonymization. CoRR (2019)
Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal, William K. Cheung
Learning Stylometric Representations for Authorship Analysis. IEEE Trans. Cybern. 49 (1) (2019)
Malik H. Altakrori, Farkhund Iqbal, Benjamin C. M. Fung, Steven H. H. Ding, Abdallah Tubaishat
Arabic Authorship Attribution: An Extensive Study on Twitter Posts. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18 (1) (2019)
Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal, William K. Cheung
Learning Stylometric Representations for Authorship Analysis. CoRR (2016)
Steven H. H. Ding, Benjamin C. M. Fung, Philippe Charland
Kam1n0: MapReduce-based Assembly Clone Search for Reverse Engineering. KDD (2016)
Steven H. H. Ding, Benjamin C. M. Fung, Mourad Debbabi
A Visualizable Evidence-Driven Approach for Authorship Attribution. ACM Trans. Inf. Syst. Secur. 17 (3) (2015)