Apurva Gandhi
Apurva Gandhi
Machine Learning Scientist, Microsoft
Verified email at
Cited by
Cited by
Adversarial perturbations fool deepfake detectors
A Gandhi, S Jain
2020 International joint conference on neural networks (IJCNN), 1-8, 2020
Share the tensor tea: how databases can leverage the machine learning ecosystem
Y Asada, V Fu, A Gandhi, A Gemawat, L Zhang, D He, V Gupta, ...
arXiv preprint arXiv:2209.04579, 2022
Carlo Curino, Jesús Camacho-Rodríguez, and Matteo Interlandi. 2023. The Tensor Data Platform: Towards an AI-centric Database System
A Gandhi, Y Asada, V Fu, A Gemawat, L Zhang, R Sen
CIDR. https://www. cidrdb. org/cidr2023/papers/p68-gandhi. pdf, 2023
The tensor data platform: Towards an ai-centric database system
A Gandhi, Y Asada, V Fu, A Gemawat, L Zhang, R Sen, C Curino, ...
arXiv preprint arXiv:2211.02753, 2022
Natural Language Commanding via Program Synthesis
A Gandhi, TQ Nguyen, H Jiao, R Steen, A Bhatawdekar
arXiv preprint arXiv:2306.03460, 2023
Sequence labeling task extraction from inked content
H Jenna, AS Gandhi, G Antonius, TM Nguyen, R Serrao, F Biyi, S Yi
US Patent App. 17/454,729, 2023
Method and system for extending query processing with differentiable operators
M Interlandi, AS Gandhi, Y Asada, A Gemawat, VR Fu, L Zhang, R Sen, ...
US Patent App. 17/963,809, 2024
SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content
A Gandhi, R Serrao, B Fang, G Antonius, J Hong, TM Nguyen, S Yi, ...
arXiv preprint arXiv:2211.04454, 2022
Sequence Embeddings using LSTM Networks: Applications to Cybersecurity.
A Gandhi, M Kelkar, JB Ingram, S Martin
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018
Analyzing Source Code with LSTM Sequence Embeddings.
S Martin, A Gandhi, M Kelkar, JB Ingram
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018
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