The State of AI Ethics Report (June 2020). - Abhishek Gupta; Camylle Lanteigne; Victoria Heath; Marianna Bergamaschi Ganapini; Erick Galinkin; Allison Cohen; Tania De Gasperis; Mo Akif; Renjie Butalid (CoRR, 2020)

Green Lighting ML: Confidentiality, Integrity, and Availability of Machine Learning Systems in Deployment. - Abhishek Gupta; Erick Galinkin (CoRR, 2020)

Malicious Network Traffic Detection via Deep Learning: An Information Theoretic View. - Erick Galinkin (CoRR, 2020)

The State of AI Ethics Report (October 2020). - Abhishek Gupta; Alexandrine Royer; Victoria Heath; Connor Wright; Camylle Lanteigne; Allison Cohen; Marianna Bergamaschi Ganapini; Muriam Fancy; Erick Galinkin; Ryan Khurana; Mo Akif; Renjie Butalid; et al. (CoRR, 2020)

Winning the Ransomware Lottery - A Game-Theoretic Approach to Preventing Ransomware Attacks. - Erick Galinkin (GameSec, 2021)

Evaluating Attacker Risk Behavior in an Internet of Things Ecosystem. - Erick Galinkin; John Carter; Spiros Mancoridis (GameSec, 2021)

The Influence of Dropout on Membership Inference in Differentially Private Models. - Erick Galinkin (CoRR, 2021)

Information Security Games: A Survey. - Erick Galinkin (CoRR, 2021)

The State of AI Ethics Report (January 2021). - Abhishek Gupta; Alexandrine Royer; Connor Wright; Falaah Arif Khan; Victoria Heath; Erick Galinkin; Ryan Khurana; Marianna Bergamaschi Ganapini; Muriam Fancy; Masa Sweidan; Mo Akif; Renjie Butalid (CoRR, 2021)

Winning the Ransomware Lottery: A Game-Theoretic Model for Mitigating Ransomware Attacks. - Erick Galinkin (CoRR, 2021)

Who's Afraid of Thomas Bayes? - Erick Galinkin (CoRR, 2021)

Review of The Foundations of Computability Theory (Second Edition) by Borut Robič. - Erick Galinkin (SIGACT News, 2021)

Fast, lightweight IoT anomaly detection using feature pruning and PCA. - John Carter; Spiros Mancoridis; Erick Galinkin (SAC, 2022)

Towards a Responsible AI Development Lifecycle: Lessons From Information Security. - Erick Galinkin (CoRR, 2022)

Robustness and Usefulness in AI Explanation Methods. - Erick Galinkin (CoRR, 2022)

Simulation of Attacker Defender Interaction in a Noisy Security Game. - Erick Galinkin; Emmanouil Pountourakis; John Carter; Spiros Mancoridis (CoRR, 2022)

Review of The Geometry of Uncertainty by Fabio Cuzzolin. - Erick Galinkin (SIGACT News, 2022)

The Price of Pessimism for Automated Defense. - Erick Galinkin; Emmanouil Pountourakis; Spiros Mancoridis (GameSec, 2024)

IoT Malware Data Augmentation using a Generative Adversarial Network. - John Carter; Spiros Mancoridis; Pavlos Protopapas; Erick Galinkin (HICSS, 2024)

Behavioral Malware Detection using a Language Model Classifier Trained on sys2vec Embeddings. - John Carter; Spiros Mancoridis; Pavlos Protopapas; Erick Galinkin (HICSS, 2024)

AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts. - Shaona Ghosh; Prasoon Varshney; Erick Galinkin; Christopher Parisien (CoRR, 2024)

garak: A Framework for Security Probing Large Language Models. - Leon Derczynski; Erick Galinkin; Jeffrey Martin; Subho Majumdar; Nanna Inie (CoRR, 2024)

Towards Type Agnostic Cyber Defense Agents. - Erick Galinkin; Emmanouil Pountrourakis; Spiros Mancoridis (CoRR, 2024)

Improved Large Language Model Jailbreak Detection via Pretrained Embeddings. - Erick Galinkin; Martin Sablotny (CoRR, 2024)

NLP Security and Ethics, in the Wild. - Heather C. Lent; Erick Galinkin; Yiyi Chen 002; Jens Myrup Pedersen; Leon Derczynski; Johannes Bjerva (Trans. Assoc. Comput. Linguistics, 2025)

Importing Phantoms: Measuring LLM Package Hallucination Vulnerabilities. - Arjun Krishna; Erick Galinkin; Leon Derczynski; Jeffrey Martin (CoRR, 2025)

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. - Aaron Blakeman; Aarti Basant; Abhinav Khattar; Adithya Renduchintala; Akhiad Bercovich; Aleksander Ficek; Alexis Bjorlin; Ali Taghibakhshi; Amala Sanjay Deshmukh; Ameya Sunil Mahabaleshwarkar; Andrew Tao; Anna Shors; et al. (CoRR, 2025)

Weakest Link in the Chain: Security Vulnerabilities in Advanced Reasoning Models. - Arjun Krishna; Aaditya Rastogi; Erick Galinkin (CoRR, 2025)

NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model. - Aarti Basant; Abhijit Khairnar; Abhijit Paithankar; Abhinav Khattar; Adithya Renduchintala; Aditya Malte; Akhiad Bercovich; Akshay Hazare; Alejandra Rico; Aleksander Ficek; Alex Kondratenko; Alex Shaposhnikov; et al. (CoRR, 2025)