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20202026
most citedSoK: Privacy-aware LLM in Healthcare: Threat Model, Privacy Techniques, Challenges and Recommendations

1 citations · 1 across the 12 of their papers we have counts for

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8 papers · 1 filter

cs.CR2026

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…

cs.CR2026

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…

cs.CR2026★ 1 cited

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…

cs.CR2026

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…

cs.CR2025

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…

cs.CR2022

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…

cs.CR2021

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…

cs.CR2020

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…