C. J. Barberan

According to our database, C. J. Barberan authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Can LLMs be Fooled? Investigating Vulnerabilities in LLMs.

Sara Abdali, Jia He, C. J. Barberan, Richard Anarfi

CoRR, 2024

Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices.

Sara Abdali, Richard Anarfi, C. J. Barberan, Jia He

CoRR, 2024

Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text.

Sara Abdali, Richard Anarfi, C. J. Barberan, Jia He

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2022

NeuroView-RNN: It's About Time.

C. J. Barberan, Sina Alemohammad, Naiming Liu, Randall Balestriero, Richard G. Baraniuk

CoRR, 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, Rebecca R. Richards-Kortum

Comput. Medical Imaging Graph., 2022

NFT-K: Non-Fungible Tangent Kernels.

Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2022

NeuroView-RNN: It's About Time.

C. J. Barberan, Sina Alemmohammad, Naiming Liu, Randall Balestriero, Richard G. Baraniuk

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

NeuroView: Explainable Deep Network Decision Making.

C. J. Barberan, Randall Balestriero, Richard G. Baraniuk

CoRR, 2021