Akilesh Potti

According to our database, Akilesh Potti authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

Privacy-Preserving Mechanisms Enable Cheap Verifiable Inference of LLMs.

Arka Pal, Louai Zahran, William Gvozdjak, Akilesh Potti, Micah Goldblum

CoRR, February, 2026

2025

Incoherent Beliefs & Inconsistent Actions in Large Language Models.

Arka Pal, Teo Kitanovski, Arthur Liang, Akilesh Potti, Micah Goldblum

CoRR, November, 2025

Cascade: Token-Sharded Private LLM Inference.

Rahul Krishna Thomas, Louai Zahran, Erica Choi, Akilesh Potti, Micah Goldblum, Arka Pal

CoRR, July, 2025

An Attack to Break Permutation-Based Private Third-Party Inference Schemes for LLMs.

Rahul Krishna Thomas, Louai Zahran, Erica Choi, Akilesh Potti, Micah Goldblum, Arka Pal

CoRR, May, 2025

Hidden No More: Attacking and Defending Private Third-Party LLM Inference.

Rahul Krishna Thomas, Louai Zahran, Erica Choi, Akilesh Potti, Micah Goldblum, Arka Pal

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

vTune: Verifiable Fine-Tuning for LLMs Through Backdooring.

Eva Zhang, Arka Pal, Akilesh Potti, Micah Goldblum

CoRR, 2024