178 citations · 208 across the 13 of their papers we have counts for
13 papers
Ranked by the Matcher: A Reproducibility Audit of Knowledge Graph Extraction from Threat Reports
Safayat Bin Hakim, Houbing Herbert Song
Security teams and researchers choose knowledge-graph extraction tooling for threat reports on the strength of published triple-F1 scores, yet those scores depend on how predicted…
ANNEAL: Adapting LLM Agents via Governed Symbolic Patch Learning
Safayat Bin Hakim, Keyan Guo, Wenkai Tan +3
LLM-based agents can recover from individual execution errors, yet they repeatedly fail on the same fault when the underlying process knowledge--operator schemas, preconditions, an…
CyberCane: a privacy-bounded neuro-symbolic retrieval framework for phishing detection under distribution shift
Safayat Bin Hakim, Aniqa Afzal, Qi Zhao +3
Organizations usually calibrate phishing detectors on public corpora, because privacy rules make their own labeled legitimate mail hard to collect. This practice breaks the false-p…
Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults
Dong Hyun Jeon, Lijing Zhu, Haifang Li +6
Temporal Graph Neural Networks (TGNNs) have become indispensable for analyzing dynamic graphs in critical applications such as social networks, communication systems, and financial…
Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities
Safayat Bin Hakim, Muhammad Adil, Alvaro Velasquez +2
Cybersecurity demands both rapid pattern recognition and deliberative reasoning, yet purely neural or purely symbolic approaches each address only one side of this duality. Neuro-S…
DEM-NeRF: A Neuro-Symbolic Method for Scientific Discovery through Physics-Informed Simulation
Wenkai Tan, Alvaro Velasquez, Houbing Song
Neural networks have emerged as a powerful tool for modeling physical systems, offering the ability to learn complex representations from limited data while integrating foundationa…
SymRAG: Efficient Neuro-Symbolic Retrieval Through Adaptive Query Routing
Safayat Bin Hakim, Muhammad Adil, Alvaro Velasquez +1
Current Retrieval-Augmented Generation systems use uniform processing, causing inefficiency as simple queries consume resources similar to complex multi-hop tasks. We present SymRA…
xIDS-EnsembleGuard: An Explainable Ensemble Learning-based Intrusion Detection System
Muhammad Adil, Mian Ahmad Jan, Safayat Bin Hakim +2
In this paper, we focus on addressing the challenges of detecting malicious attacks in networks by designing an advanced Explainable Intrusion Detection System (xIDS). The existing…
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
Dong Hyun Jeon, Wenbo Sun, Houbing Herbert Song +4
While deep-learning-enabled recommender systems demonstrate strong performance benchmarks, many struggle to adapt effectively in real-world environments due to limited use of user-…
ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins
Safayat Bin Hakim, Muhammad Adil, Alvaro Velasquez +1
Digital twins are increasingly used to monitor and optimize industrial systems, yet many existing frameworks remain difficult to interpret, slow to adapt, and limited in their abil…
Decoding Android Malware with a Fraction of Features: An Attention-Enhanced MLP-SVM Approach
Safayat Bin Hakim, Muhammad Adil, Kamal Acharya +1
The escalating sophistication of Android malware poses significant challenges to traditional detection methods, necessitating innovative approaches that can efficiently identify an…
A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence
Justus Renkhoff, Ke Feng, Marc Meier-Doernberg +2
Neurosymbolic artificial intelligence (AI) is an emerging branch of AI that combines the strengths of symbolic AI and sub-symbolic AI. A major drawback of sub-symbolic AI is that i…
Modern Computing: Vision and Challenges
Sukhpal Singh Gill, Huaming Wu, Panos Patros +22
Over the past six decades, the computing systems field has experienced significant transformations, profoundly impacting society with transformational developments, such as the Int…