Mobile phishing attacks and defence mechanisms: State of art and open research challenges. - Diksha Goel; Ankit Kumar Jain (Comput. Secur., 2018)

Predicting Spam Messages Using Back Propagation Neural Network. - Ankit Kumar Jain; Diksha Goel; Sanjli Agarwal; Yukta Singh; Gaurav Bajaj (Wirel. Pers. Commun., 2020)

Maintenance of Structural Hole Spanners in Dynamic Networks. - Diksha Goel; Hong Shen 001; Hui Tian 001; Mingyu Guo (LCN, 2021)

Progressive Transfer Learning Approach for Identifying the Leaf Type by Optimizing Network Parameters. - Deepa Joshi; Vidyanand Mishra; Honey Srivastav; Diksha Goel (Neural Process. Lett., 2021)

Defending active directory by combining neural network based dynamic program and evolutionary diversity optimisation. - Diksha Goel; Max Hector Ward-Graham; Aneta Neumann; Frank Neumann 001; Hung Nguyen 004; Mingyu Guo (GECCO, 2022)

Discovering Structural Hole Spanners in Dynamic Networks via Graph Neural Networks. - Diksha Goel; Hong Shen 001; Hui Tian 001; Mingyu Guo (WI/IAT, 2022)

Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems. - Diksha Goel; Aneta Neumann; Frank Neumann 001; Hung Nguyen 004; Mingyu Guo (GECCO, 2023)

Discovering Top-k Structural Hole Spanners in Dynamic Networks. - Diksha Goel; Hong Shen 001; Hui Tian 001; Mingyu Guo (CoRR, 2023)

Cost Sharing Public Project with Minimum Release Delay. - Mingyu Guo; Diksha Goel; Guanhua Wang; Yong Yang; Muhammad Ali Babar 001 (CoRR, 2023)

Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization: Applications in Cyber Defense and Information Diffusion. - Diksha Goel (CoRR, 2023)

Optimizing Cyber Defense in Dynamic Active Directories Through Reinforcement Learning. - Diksha Goel; Kristen Moore; Mingyu Guo; Derui Wang; Minjune Kim; Seyit Camtepe (ESORICS (1), 2024)

Microservice Vulnerability Analysis: A Literature Review With Empirical Insights. - Raveen Kanishka Jayalath; Hussain Ahmad; Diksha Goel; Muhammad Shuja Syed; Faheem Ullah (IEEE Access, 2024)

ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large Language Models. - Shivansh Chopra; Hussain Ahmad; Diksha Goel; Claudia Szabo (CoRR, 2024)

Machine Learning Driven Smishing Detection Framework for Mobile Security. - Diksha Goel; Hussain Ahmad; Ankit Kumar Jain; Nikhil Kumar Goel (CoRR, 2024)

Effective graph-neural-network based models for discovering Structural Hole Spanners in large-scale and diverse networks. - Diksha Goel; Hong Shen 001; Hui Tian 001; Mingyu Guo (Expert Syst. Appl., 2024)

Mechanism design for public projects via three machine learning based approaches. - Mingyu Guo; Diksha Goel; Guanhua Wang; Runqi Guo; Yuko Sakurai; Muhammad Ali Babar 001 (Auton. Agents Multi Agent Syst., 2024)

A comprehensive survey on DDoS detection, mitigation, and defense strategies in software-defined networks. - Ankit Kumar Jain; Hariom Shukla; Diksha Goel (Clust. Comput., 2024)

CyberAlly: Leveraging LLMs and Knowledge Graphs to Empower Cyber Defenders. - Minjune Kim; Jeff Wang; Kristen Moore; Diksha Goel; Derui Wang; Ahmad Mohsin; Ahmed Ibrahim 002; Robin Doss; Seyit Camtepe; Helge Janicke (WWW (Companion Volume), 2025)

CAMP in the Odyssey: Provably Robust Reinforcement Learning with Certified Radius Maximization. - Derui Wang; Kristen Moore; Diksha Goel; Minjune Kim; Gang Li 009; Yang Li 182; Robin Ram Mohan Doss; Minhui Xue 001; Bo Li 026; Seyit Camtepe; Liming Zhu 001 (Zenodo, 2025)

Detection and Prevention of Smishing Attacks. - Diksha Goel (CoRR, 2025)

The Future of AI: Exploring the Potential of Large Concept Models. - Hussain Ahmad; Diksha Goel (CoRR, 2025)

CAMP in the Odyssey: Provably Robust Reinforcement Learning with Certified Radius Maximization. - Derui Wang; Kristen Moore; Diksha Goel; Minjune Kim; Gang Li 009; Yang Li 182; Robin Doss; Minhui Xue 001; Bo Li 026; Seyit Camtepe; Liming Zhu 001 (CoRR, 2025)

Unveiling the Black Box: A Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber Agents. - Diksha Goel; Kristen Moore; Jeff Wang; Minjune Kim; Thanh Thi Nguyen (CoRR, 2025)

Co-Evolutionary Defence of Active Directory Attack Graphs via GNN-Approximated Dynamic Programming. - Diksha Goel; Hussain Ahmad; Kristen Moore; Mingyu Guo (CoRR, 2025)

From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs. - Alsharif Abuadbba; Chris Hicks; Kristen Moore; Vasilios Mavroudis; Burak Hasircioglu; Diksha Goel; Piers Jennings (CoRR, 2025)

Towards deep learning enabled cybersecurity risk assessment for microservice architectures. - Majid Abdulsatar; Hussain Ahmad; Diksha Goel; Faheem Ullah (Clust. Comput., 2025)

Tracking top-k structural hole spanners in dynamic networks. - Diksha Goel; Hong Shen 001; Hui Tian 001; Mingyu Guo (Clust. Comput., 2025)