Akshaj Kumar Veldanda — accepted AI-conference papers

2023

Path Planning Under Uncertainty to Localize mmWave Sources

Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi +5

ICRA 2023poster

In this paper, we study a navigation problem where a mobile robot needs to locate a mmWave wireless signal. Using the directionality properties of the signal, we propose an estimation and path planning algorithm that can efficiently navigate in cluttered indoor environments. We formulate Extended Ka…

Cited by 6 Source ↗Scholar ↗

2020

CryptoNAS: Private Inference on a ReLU Budget

Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen, Siddharth Garg

NeurIPS 2020poster

Machine learning as a service has given raise to privacy concerns surrounding clients' data and providers' models and has catalyzed research in private inference (PI): methods to process inferences without disclosing inputs. Recently, researchers have adapted cryptographic techniques to show PI is p…

Cited by 106 Source ↗PDF ↗Scholar ↗