Most Recent Additions*
Automatic dependent surveillance: attacks, challenges and countermeasures
Andrew Morrow and Varghese Vaidyan
A robust adversarial ensemble with causal (feature interaction) interpretations for image classification
Chunheng Zeng, Pierluigi Pisu, Gurcan Comert, Negash Begashaw, Varghese Vaidyan, and Nina Hubig
Interpreting Office Document Macros with Bi-Directional Transformer Models
Mahesh Kalappattil, Varghese Vaidyan, Gurcan Comert, and Yong Wang
PyRHOH: A meta-learning analysis framework for determining the impact of compilation on malicious JavaScript identification
Eli Fulkerson, Eric Yocam, Varghese Vaidyan, Mahesh Kamepalli, Yong Wang, and Gurcan Comert
On the Effectiveness of Automatic Code Generation for Synthetic Dataset Creation
Josh Mitchell, Varghese Vaidyan, and Yong Wang
Multi-level Post Quantum Encryption for Images with Quantum Fourier Transform
Baby Vennela Kothakonda, Nathaniel Ketema, Varghese Vaidyan, Ashley L. Podhradsky, Eric Yocam, and Yong Wang
From LLMs to Randomness: Analyzing Program Input Efficacy With Resource and Language Metrics
Gavin Black, Eric Yocam, Varghese Vaidyan, Gurcan Comert, and Yong Wang
Towards an Artifact to Assess Differential Privacy in Microdata Streams
Sean McElroy, Varghese Vaidyan, and Gurcan Comert
Assessing Evasion Attacks on Tree-Based Machine Learning Models: Supervised vs. Unsupervised Approaches
Carson Koball, Yong Wang, Varghese Vaidyan, and John Hastings
A Novel Approach to Quantum-Resistant Selective Encryption for Agricultural Sensors with Limited Resources
Aditya Jagatha, Akshay Kappala, Mahesh Kamepalli, Varghese Vaidyan, Eric Yocam, and Yong Wang
Quantum Adversarial Machine Learning and Defense Strategies: Challenges and Opportunities
Eric Yocam, Anthony Rizi, Mahesh Kamepalli, Varghese Vaidyan, Yong Wang, and Gurcan Comert
Exploring Machine Learning with FNNs for Identifying Modified DGAs through Noise and Linear Recursive Sequences (LRS)
Anthony Rizi, Eric Yocam, Varghese Vaidyan, and Yong Wang
Evaluating Large Language Models for Enhanced Fuzzing: An Analysis Framework for LLM-Driven Seed Generation
Gavin Black, Varghese Vaidyan, and Gurcan Comert
Machine Learning Security: Threat Model, Attacks, and Challenges
Carson Koball, Yong Wang, Bhaskar P. Rimal Dr., and Varghese Vaidyan
Balancing Security and Correctness in Code Generation: An Empirical Study on Commercial Large Language Models PDF
Gavin Black, Bhaskar P. Rimal Dr., and Varghese Vaidyan
Exploring LoRaWAN Class B and Class C Devices: Performance Analysis and Parameter Optimization Strategies
Aditya Jagatha, Bhaskar P. Rimal Dr., Varghese Vaidyan, and Yong Wang
The case for contextual copyleft: licensing open-source training data and generative AI
Grant Shanklin, Emmie Hine, Claudio Novelli, Tyler Schroder, and Luciano Floridi
The Roles and Implications of Black Swan Events in Tackling Deep Uncertainty in Relief Distribution: A Collective Case Study
Mohammad Tafiqur Rahman and Maung Kyaw Sein
*Updated as of 02/26/26.