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Steven H. H. Ding
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2020 – today
- 2024
- [j19]Scarlett Taviss, Steven H. H. Ding, Mohammad Zulkernine, Philippe Charland, Sudipta Acharya:
Asm2Seq: Explainable Assembly Code Functional Summary Generation for Reverse Engineering and Vulnerability Analysis. DTRAP 5(1): 6:1-6:25 (2024) - [j18]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. Empir. Softw. Eng. 29(6): 150 (2024) - [j17]Weihan Ou
, Steven H. H. Ding, Mohammad Zulkernine
VeriBin: A Malware Authorship Verification Approach for APT Tracking through Explainable and Functionality-Debiasing Adversarial Representation Learning. ACM Trans. Priv. Secur. 27(3): 26:1-26:37 (2024) - [c21]Li Tao Li
Dynamic Neural Control Flow Execution: an Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection. CIKM 2024: 1215-1225 - [c20]Max Beninger, Philippe Charland, Steven H. H. Ding, Benjamin C. M. Fung:
ERS0: Enhancing Military Cybersecurity with AI-Driven SBOM for Firmware Vulnerability Detection and Asset Management. CyCon 2024: 141-160 - [c19]Christopher Molloy, Furkan Alaca, Steven H. H. Ding:
Ch4os: Discretized Generative Adversarial Network for Functionality-Preserving Evasive Modification on Malware. ICANN (9) 2024: 461-475 - [c18]Ryan Kerr, Steven H. H. Ding, Li Li, Adrian Taylor:
Accelerating Autonomous Cyber Operations: A Symbolic Logic Planner Guided Reinforcement Learning Approach. ICNC 2024: 641-647 - [c17]Kazi Amit Hasan
A First Look at Self-Admitted Miscommunications in GitHub Issues. ASE Workshops 2024: 118-127 - [i9]Devin Pereira, Christopher Molloy, Sudipta Acharya, Steven H. H. Ding:
Automating SBOM Generation with Zero-Shot Semantic Similarity. CoRR abs/2403.08799 (2024) - [i8]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 abs/2403.10468 (2024) - [i7]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 abs/2404.08562 (2024) - [i6]Leo Song, Steven H. H. Ding, Yuan Tian, Li Tao Li, Philippe Charland, Andrew Walenstein:
Chain-of-Experts (CoE): Reverse Engineering Software Bills of Materials for JavaScript Application Bundles through Code Clone Search. CoRR abs/2408.16198 (2024) - 2023
- [j16]Xinyu Hu
TDRLM: Stylometric learning for authorship verification by Topic-Debiasing. Expert Syst. Appl. 233: 120745 (2023) - [j15]Farnood Faghihi
AIM: An Android Interpretable Malware detector based on application class modeling. J. Inf. Secur. Appl. 75: 103486 (2023) - [j14]Litao Li
VulANalyzeR: Explainable Binary Vulnerability Detection with Multi-task Learning and Attentional Graph Convolution. ACM Trans. Priv. Secur. 26(3): 28:1-28:25 (2023) - [j13]Weihan Ou
SCS-Gan: Learning Functionality-Agnostic Stylometric Representations for Source Code Authorship Verification. IEEE Trans. Software Eng. 49(4): 1426-1442 (2023) - [j12]Karim Lounis
D2D-MAP: A Drone to Drone Authentication Protocol Using Physical Unclonable Functions. IEEE Trans. Veh. Technol. 72(4): 5079-5093 (2023) - [c16]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: 1911-1916 - [c15]Leo Song, Steven H. H. Ding:
Milo: Attacking Deep Pre-trained Model for Programming Languages Tasks with Anti-analysis Code Obfuscation. COMPSAC 2023: 586-594 - [c14]Weihan Ou, Steven H. H. Ding:
MaGnn: Binary-Source Code Matching by Modality-Sharing Graph Convolution for Binary Provenance Analysis. COMPSAC 2023: 658-666 - [c13]Farnood Faghihi, Mohammad Zulkernine, Steven H. H. Ding:
Unmasking of Maskware: Detection and Prevention of Next-Generation Mobile Crypto-Ransomware. FPS (1) 2023: 269-284 - [c12]Li Tao Li, Steven H. H. Ding, Philippe Charland:
GenTAL: Generative Denoising Skip-gram Transformer for Unsupervised Binary Code Similarity Detection. IJCNN 2023: 1-8 - [c11]Kazi Amit Hasan, Marcos Macedo, Yuan Tian, Bram Adams, Steven H. H. Ding:
Understanding the Time to First Response in GitHub Pull Requests. MSR 2023: 1-11 - [i5]Kazi Amit Hasan, Marcos Macedo, Yuan Tian, Bram Adams, Steven H. H. Ding:
Understanding the Time to First Response In GitHub Pull Requests. CoRR abs/2304.08426 (2023) - [i4]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 abs/2307.10631 (2023) - 2022
- [j11]Litao Li
TASR: Adversarial learning of topic-agnostic stylometric representations for informed crisis response through social media. Inf. Process. Manag. 59(2): 102857 (2022) - [j10]Farnood Faghihi
CamoDroid: An Android application analysis environment resilient against sandbox evasion. J. Syst. Archit. 125: 102452 (2022) - [j9]Karim Lounis
A Review and Analysis of Attack Vectors on MIL-STD-1553 Communication Bus. IEEE Trans. Aerosp. Electron. Syst. 58(6): 5586-5606 (2022) - [j8]Michael Wrana
OD1NF1ST: True Skip Intrusion Detection and Avionics Network Cyber-attack Simulation. ACM Trans. Cyber Phys. Syst. 6(4): 33:1-33:27 (2022) - [j7]Marwa A. Elsayed
AdaptIDS: Adaptive Intrusion Detection for Mission-Critical Aerospace Vehicles. IEEE Trans. Intell. Transp. Syst. 23(12): 23459-23473 (2022) - [c10]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: 22-29 - [c9]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: 385-403 - [c8]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: 1131-1136 - [c7]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: 522-528 - 2021
- [j6]Miles Q. Li, Benjamin C. M. Fung
I-MAD: Interpretable malware detector using Galaxy Transformer. Comput. Secur. 108: 102371 (2021) - [j5]Sarah A. Alkhodair
Detecting High-Engaging Breaking News Rumors in Social Media. ACM Trans. Manag. Inf. Syst. 12(1): 8:1-8:16 (2021) - [c6]Karim Lounis, Steven H. H. Ding, Mohammad Zulkernine:
Cut It: Deauthentication Attacks on Protected Management Frames in WPA2 and WPA3. FPS 2021: 235-252 - [c5]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: 617-628 - [c4]Haohan Bo, Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal:
ER-AE: Differentially Private Text Generation for Authorship Anonymization. NAACL-HLT 2021: 3997-4007 - 2020
- [j4]Sarah A. Alkhodair
Detecting breaking news rumors of emerging topics in social media. Inf. Process. Manag. 57(2): 102018 (2020)
2010 – 2019
- 2019
- [j3]Malik H. Altakrori, Farkhund Iqbal
Arabic Authorship Attribution: An Extensive Study on Twitter Posts. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(1): 5:1-5:51 (2019) - [j2]Steven H. H. Ding
Learning Stylometric Representations for Authorship Analysis. IEEE Trans. Cybern. 49(1): 107-121 (2019) - [c3]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: 472-489 - [i3]Haohan Bo, Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal:
ER-AE: Differentially-private Text Generation for Authorship Anonymization. CoRR abs/1907.08736 (2019) - [i2]Miles Q. Li, Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding:
I-MAD: A Novel Interpretable Malware Detector Using Hierarchical Transformer. CoRR abs/1909.06865 (2019) - 2018
- [c2]Steven H. H. Ding, Colin R. Gallacher:
The Haply Development Platform: A Modular and Open-Sourced Entry Level Haptic Toolset. CHI Extended Abstracts 2018 - 2016
- [c1]Steven H. H. Ding, Benjamin C. M. Fung, Philippe Charland:
Kam1n0: MapReduce-based Assembly Clone Search for Reverse Engineering. KDD 2016: 461-470 - [i1]Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal, William K. Cheung:
Learning Stylometric Representations for Authorship Analysis. CoRR abs/1606.01219 (2016) - 2015
- [j1]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): 12:1-12:30 (2015)
Coauthor Index
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last updated on 2024-12-02 21:31 CET by the dblp team
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