Shuvalaxmi Dass

According to our database, Shuvalaxmi Dass authored at least 19 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Residual Risk Analysis in Benign Code: How Far Are We? A Multi-Model Semantic and Structural Similarity Approach.

Mohammad Farhad, Shuvalaxmi Dass

CoRR, April, 2026

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, Sharif Ullah, Mahmoud Abouyessef

CoRR, January, 2026

SoK: Privacy-aware LLM in Healthcare: Threat Model, Privacy Techniques, Challenges and Recommendations.

Mohoshin Ara Tahera, Karamveer Singh Sidhu, Shuvalaxmi Dass, Sajal Saha

CoRR, January, 2026

Memory-Based Malware Detection under Limited Data Conditions: A Comparative Evaluation of TabPFN and Ensemble Models.

Valentin Leroy, Shuvalaxmi Dass, Sharif Ullah

Proceedings of the International Conference on Computing, Networking and Communications, 2026

HYDRA: A Hybrid Heuristic-Guided Deep Representation Architecture for Predicting Latent Zero-Day Vulnerabilities in Patched Functions.

Mohammad Farhad, Sabbir Rahman, Shuvalaxmi Dass

Proceedings of the 7th ACM/IEEE International Conference on Automation of Software Test, 2026

2025

Evolutionary Defense: Advancing Moving Target Strategies with Bio-Inspired Reinforcement Learning to Secure Misconfigured Software Applications.

Niloofar Heidarikohol, Shuvalaxmi Dass, Akbar Siami Namin

CoRR, April, 2025

2023

Cultivating Inclusivity: A Journey Towards Democratizing Cybersecurity Education.

Jordan Schnell, Shuvalaxmi Dass, Jacques Bou Abdo, Moitrayee Chatterjee

Proceedings of the IEEE International Conference on Teaching, 2023

Towards Privacy Preserving Financial Fraud Detection.

Stephanie Abanilla, Moitrayee Chatterjee, Shuvalaxmi Dass

Proceedings of the International Conference on Machine Learning and Applications, 2023

Modeling the Dynamics of Bitcoin Overlay Network.

Jacques Bou Abdo, Shuvalaxmi Dass, Basheer Qolomany, Liaquat Hossain

Proceedings of the Complex Networks & Their Applications XII, 2023

XorshiftH128+: A hybrid random number generator for lightweight IoT.

Serge Sandakly, Charbel Salem, Khalil Challita, Shuvalaxmi Dass, Joseph Azar, Jacques Bou Abdo, Jacques Demerjian

Proceedings of the IEEE International Conference on Artificial Intelligence, 2023

2022

Evolutionary Random Graph for Bitcoin Overlay and Blockchain Mining Networks.

Jacques Bou Abdo, Shuvalaxmi Dass, Basheer Qolomany, Liaquat Hossain

CoRR, 2022

2021

Attack Prediction using Hidden Markov Model.

Shuvalaxmi Dass, Prerit Datta, Akbar Siami Namin

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020

Vulnerability Coverage as an Adequacy Testing Criterion.

Shuvalaxmi Dass, Akbar Siami Namin

CoRR, 2020

Detection of Coincidentally Correct Test Cases through Random Forests.

Shuvalaxmi Dass, Xiaozhen Xue, Akbar Siami Namin

CoRR, 2020

Vulnerability Coverage for Secure Configuration.

Shuvalaxmi Dass, Akbar Siami Namin

CoRR, 2020

Vulnerability coverage for adequacy security testing.

Shuvalaxmi Dass, Akbar Siami Namin

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Ensemble Random Forests Classifier for Detecting Coincidentally Correct Test Cases.

Shuvalaxmi Dass, Xiaozhen Xue, Akbar Siami Namin

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Evolutionary Algorithms for Vulnerability Coverage.

Shuvalaxmi Dass, Akbar Siami Namin

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

A Sensitivity Analysis of Evolutionary Algorithms in Generating Secure Configurations.

Shuvalaxmi Dass, Akbar Siami Namin

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020