NeuroView: Explainable Deep Network Decision Making. - C. J. Barberan; Randall Balestriero; Richard G. Baraniuk (CoRR, 2021)

NeuroView-RNN: It's About Time. - C. J. Barberan; Sina Alemmohammad; Naiming Liu; Randall Balestriero; Richard G. Baraniuk (FAccT, 2022)

NFT-K: Non-Fungible Tangent Kernels. - Sina Alemohammad; Hossein Babaei; C. J. Barberan; Naiming Liu; Lorenzo Luzi; Blake Mason; Richard G. Baraniuk (ICASSP, 2022)

Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancer. - David J. Brenes; C. J. Barberan; Brady Hunt; Sonia G. Parra; Mila P. Salcedo; Júlio C. Possati-Resende; Miriam L. Cremer; Philip E. Castle; José H. T. G. Fregnani; Mauricio Maza; Kathleen M. Schmeler; Richard G. Baraniuk; et al. (Comput. Medical Imaging Graph., 2022)

NeuroView-RNN: It's About Time. - C. J. Barberan; Sina Alemohammad; Naiming Liu; Randall Balestriero; Richard G. Baraniuk (CoRR, 2022)

Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text. - Sara Abdali; Richard Anarfi; C. J. Barberan; Jia He (KDD, 2024)

Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices. - Sara Abdali; Richard Anarfi; C. J. Barberan; Jia He (CoRR, 2024)

Can LLMs be Fooled? Investigating Vulnerabilities in LLMs. - Sara Abdali; Jia He; C. J. Barberan; Richard Anarfi (CoRR, 2024)