Steven H. H. Ding

Steven H. H. Ding

McGill University

H-index: 11

North America-Canada

About Steven H. H. Ding

Steven H. H. Ding, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at McGill University, specializes in the field of Data Mining, Machine Learning, Reverse Engineering, Cybersecurity.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues

Automating SBOM Generation with Zero-Shot Semantic Similarity

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

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

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

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

AIM: An Android Interpretable Malware Detector based on Application Class Modeling

TDRLM: Stylometric learning for authorship verification by Topic-Debiasing

Steven H. H. Ding Information

University

Position

Data Mining and Security Lab

Citations(all)

986

Citations(since 2020)

951

Cited By

261

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Steven H. H. Ding Skills & Research Interests

Data Mining

Machine Learning

Reverse Engineering

Cybersecurity

Top articles of Steven H. H. Ding

Title

Journal

Author(s)

Publication Date

An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues

arXiv preprint arXiv:2403.10468

Huizi Hao

Kazi Amit Hasan

Hong Qin

Marcos Macedo

Yuan Tian

...

2024/3/15

Automating SBOM Generation with Zero-Shot Semantic Similarity

Devin Pereira

Chris Molloy

Sudipta Acharya

Steven H.H. Ding

2024

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

arXiv preprint arXiv:2404.08562

Litao Li

Steven HH Ding

Andrew Walenstein

Philippe Charland

Benjamin Fung

2024/4/3

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

ACM Transactions on Privacy and Security

Litao Li

Steven H. H. Ding

Yuan Tian

Benjamin CM Fung

Philippe Charland

...

2023/3/16

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

Litao Li

Steven Ding

Philippe Charland

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

2023

AIM: An Android Interpretable Malware Detector based on Application Class Modeling

Journal of Information Security and Applications

Farnood Faghihi

Mohammad Zulkernine

Steven Ding

2023

TDRLM: Stylometric learning for authorship verification by Topic-Debiasing

Expert Systems with Applications

Xinyu Hu

Weihan Ou

Sudipta Acharya

Steven HH Ding

Ryan D’Gama

...

2023/12/15

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

Leo Song

Steven H. H. Ding

2023

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

arXiv preprint arXiv:2307.10631

Zhiwei Fu

Steven HH Ding

Furkan Alaca

Benjamin Fung

Philippe Charland

2023/7/20

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

Weihan Ou

Steven H. H. Ding

2023

Understanding the Time to First Response In GitHub Pull Requests

Kazi Amit Hasan

Marcos Macedo

Yuan Tian

Bram Adams

Steven Ding

2023/4

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

ACM Digital Threats: Research and Practice

Scarlett Taviss

Steven H. H. Ding

Mohammad Zulkernine

Philippe Charland

Sudipta Acharya

2023

CamoDroid: An Android application analysis environment resilient against sandbox evasion

Journal of Systems Architecture

Farnood Faghihi

Mohammad Zulkernine

Steven Ding

2022/4/1

AdaptIDS: Adaptive intrusion detection for mission-critical aerospace vehicles

IEEE Transactions on Intelligent Transportation Systems

Marwa A Elsayed

Michael Wrana

Ziad Mansour

Karim Lounis

Steven HH Ding

...

2022/10/25

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

Information Processing & Management

Litao Li

Rylen Sampson

Steven HH Ding

Leo Song

2022/3/1

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

Christopher Molloy

Steven HH Ding

Benjamin CM Fung

Philippe Charland

2022/7/27

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

ACM Transactions on Cyber-Physical Systems (TCPS)

Michael Maximilian Wrana

Marwa Elsayed

Karim Lounis

Ziad Mansour

Steven Ding

...

2022/12/13

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

Christopher Molloy

Philippe Charland

Steven HH Ding

Benjamin CM Fung

2022/5/31

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

Christopher Molloy

Jeremy Banks

HH Steven Ding

Philippe Charland

Andrew Walenstein

...

2022/11/28

See List of Professors in Steven H. H. Ding University(McGill University)