1 citations · 1 across the 12 of their papers we have counts for
13 papers
LLMVul: A Vulnerability-Labeled Dataset of LLM-Generated C/C++ Functions from Real Production Repositories
Mohammad Farhad, Shuvalaxmi Dass
Large language models (LLMs) are increasingly used to generate and assist with software development, yet existing vulnerability datasets largely focus on human-written code or cont…
MTD-Playground: An Attacker-Aware Evaluation Framework for Network Moving Target Defense
Mohammad Farhad, Mohoshin Ara Tahera, Padam Jung Thapa +2
Moving Target Defense (MTD) has emerged as a proactive network cyber defense paradigm that increases attacker uncertainty through dynamic network reconfiguration techniques such as…
Residual Risk Assessment in Benign Code: How Far Are We? A Multi-Model Semantic and Structural Similarity Approach
Mohammad Farhad, Shuvalaxmi Dass
Software security assurance relies on effective vulnerability detection and patching, yet determining whether a patch fully eliminates risk remains an underexplored challenge. Exis…
BlocksecRT-DETR: Decentralized Privacy-Preserving and Token-Efficient Federated Transformer Learning for Secure Real-Time Object Detection in ITS
Mohoshin Ara Tahera, Sabbir Rahman, Shuvalaxmi Dass +2
Federated real-time object detection using transformers in Intelligent Transportation Systems (ITS) faces three major challenges: (1) missing-class non-IID data heterogeneity from…
SoK: Privacy-aware LLM in Healthcare: Threat Model, Privacy Techniques, Challenges and Recommendations
Mohoshin Ara Tahera, Karamveer Singh Sidhu, Shuvalaxmi Dass +1
Large Language Models (LLMs) are increasingly adopted in healthcare to support clinical decision-making, summarize electronic health records (EHRs), and enhance patient care. Howev…
Memory-Based Malware Detection under Limited Data Conditions: A Comparative Evaluation of TabPFN and Ensemble Models
Valentin Leroy, Shuvalaxmi Dass, Sharif Ullah
Artificial intelligence and machine learning have significantly advanced malware research by enabling automated threat detection and behavior analysis. However, the availability of…
HYDRA: A Hybrid Heuristic-Guided Deep Representation Architecture for Predicting Latent Zero-Day Vulnerabilities in Patched Functions
Mohammad Farhad, Sabbir Rahman, Shuvalaxmi Dass
Software security testing, particularly when enhanced with deep learning models, has become a powerful approach for improving software quality, enabling faster detection of known f…
Evolutionary Defense: Advancing Moving Target Strategies with Bio-Inspired Reinforcement Learning to Secure Misconfigured Software Applications
Niloofar Heidarikohol, Shuvalaxmi Dass, Akbar Siami Namin
Improper configurations in software systems often create vulnerabilities, leaving them open to exploitation. Static architectures exacerbate this issue by allowing misconfiguration…
Evolutionary Random Graph for Bitcoin Overlay and Blockchain Mining Networks
Jacques Bou Abdo, Shuvalaxmi Dass, Basheer Qolomany +1
The world economy is experiencing the novel adoption of distributed currencies that are free from the control of central banks. Distributed currencies suffer from extreme volatilit…
Attack Prediction using Hidden Markov Model
Shuvalaxmi Dass, Prerit Datta, Akbar Siami Namin
It is important to predict any adversarial attacks and their types to enable effective defense systems. Often it is hard to label such activities as malicious ones without adequate…
Vulnerability Coverage as an Adequacy Testing Criterion
Shuvalaxmi Dass, Akbar Siami Namin
Mainstream software applications and tools are the configurable platforms with an enormous number of parameters along with their values. Certain settings and possible interactions…
Detection of Coincidentally Correct Test Cases through Random Forests
Shuvalaxmi Dass, Xiaozhen Xue, Akbar Siami Namin
The performance of coverage-based fault localization greatly depends on the quality of test cases being executed. These test cases execute some lines of the given program and deter…
Vulnerability Coverage for Secure Configuration
Shuvalaxmi Dass, Akbar Siami Namin
We present a novel idea on adequacy testing called ``{vulnerability coverage}.'' The introduced coverage measure examines the underlying software for the presence of certain classe…