Learning to communicate: Channel auto-encoders, domain specific regularizers, and attention. - Timothy J. O'Shea; Kiran Karra; T. Charles Clancy (ISSPIT, 2016)

Hybrid Copula Bayesian Networks. - Kiran Karra; Lamine Mili (Probabilistic Graphical Models, 2016)

GNU Radio Signal Processing Models for Dynamic Multi-User Burst Modems. - Timothy J. O'Shea; Kiran Karra (CoRR, 2016)

Learning approximate neural estimators for wireless channel state information. - Tim O'Shea 001; Kiran Karra; T. Charles Clancy (MLSP, 2017)

An Empirical Assessment of the Complexity and Realism of Synthetic Social Contact Networks*. - Kiran Karra; Samarth Swarup; Justus Graham (IEEE BigData, 2018)

An Empirical Assessment of the Complexity and Realism of Synthetic Social Contact Networks. - Kiran Karra; Samarth Swarup; Justus Graham (CoRR, 2018)

Copula index for detecting dependence and monotonicity between stochastic signals. - Kiran Karra; Lamine Mili (Inf. Sci., 2019)

The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models. - Kiran Karra; Chace Ashcraft; Neil Fendley (CoRR, 2020)

Probabilistic Load-Margin Assessment using Vine Copula and Gaussian Process Emulation. - Yijun Xu 001; Kiran Karra; Lamine Mili; Mert Korkali; Xiao Chen; Zhixiong Hu (CoRR, 2020)

Speaker Diarization Using Two-Pass Leave-One-Out Gaussian PLDA Clustering of DNN Embeddings. - Kiran Karra; Alan McCree (Interspeech, 2021)

Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers. - Chace Ashcraft; Kiran Karra (CoRR, 2021)

SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks. - Kiran Karra; Chace Ashcraft (CoRR, 2021)

Machine Learning aided Crop Yield Optimization. - Chace Ashcraft; Kiran Karra (CoRR, 2021)

SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks. - Kiran Karra; Chace Ashcraft; Cash Costello (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity. - Nathan Drenkow; Alvin Tan; Chace Ashcraft; Kiran Karra (CoRR, 2022)

An Agent-Based Model Framework for Utility-Based Cryptoeconomies. - Kiran Karra; Tom Mellan; Maria Silva; Juan P. Madrigal-Cianci; Axel Cubero Cortes; Zixuan Zhang (CoRR, 2023)

Smoothening block rewards: How much should miners pay for mining pools? - Axel Cortes-Cubero; Juan P. Madrigal-Cianci; Kiran Karra; Zixuan Zhang (CoRR, 2023)

Quantifying Non-linear Dependencies in Blind Source Separation of Power System Signals using Copula Statistics. - Pooja Algikar; Lamine Mili; Kiran Karra; Akash Algikar; Mohsen Ben Hassine (ISGT, 2024)

Investigating the Treacherous Turn in Deep Reinforcement Learning. - Chace Ashcraft; Kiran Karra; Josh Carney; Nathan Drenkow (CoRR, 2025)

Backdoors in DRL: Four Environments Focusing on In-distribution Triggers. - Chace Ashcraft; Ted Staley; Josh Carney; Cameron Hickert; Kiran Karra; Nathan Drenkow (CoRR, 2025)