Nandan Kumar Jha
Nandan Kumar Jha
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Ulsam: Ultra-lightweight subspace attention module for compact convolutional neural networks
R Saini, NK Jha, B Das, S Mittal, CK Mohan
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
DeepReDuce: ReLU Reduction for Fast Private Inference
NK Jha, Z Ghodsi, S Garg, B Reagen
38th International Conference on Machine Learning (ICML, Spotlight), 2021 …, 2021
Circa: Stochastic ReLUs for Private Deep Learning
Z Ghodsi, NK Jha, B Reagen, S Garg
35th Conference on Neural Information Processing Systems (NeurIPS 2021) 34, 2021
The ramifications of making deep neural networks compact
NK Jha, S Mittal, G Mattela
2019 32nd International Conference on VLSI Design and 2019 18th …, 2019
Sisyphus: A cautionary tale of using low-degree polynomial activations in privacy-preserving deep learning
K Garimella, NK Jha, B Reagen
Privacy Preserving Machine Learning Workshop (PPML@ACM CCS), 2021, 2021
Modeling data reuse in deep neural networks by taking data-types into cognizance
NK Jha, S Mittal
IEEE Transactions on Computers 70 (9), 2020
Characterizing and optimizing end-to-end systems for private inference
K Garimella, Z Ghodsi, NK Jha, S Garg, B Reagen
Proceedings of the 28th ACM International Conference on Architectural …, 2023
Deeppeep: Exploiting design ramifications to decipher the architecture of compact dnns
NK Jha, S Mittal, B Kumar, G Mattela
ACM Journal on Emerging Technologies in Computing Systems (JETC) 17 (1), 1-25, 2020
DRACO: Co-optimizing hardware utilization, and performance of DNNs on systolic accelerator
NK Jha, S Ravishankar, S Mittal, A Kaushik, D Mandal, M Chandra
2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 574-579, 2020
E2GC: Energy-efficient group convolution in deep neural networks
NK Jha, R Saini, S Nag, S Mittal
2020 33rd International Conference on VLSI Design and 2020 19th …, 2020
Data-type aware arithmetic intensity for deep neural networks
NK Jha, S Mittal, S Avancha
37th IEEE International Conference on Computer Design (ICCD'19), 1-2, 2019
DeepReShape: Redesigning Neural Networks for Efficient Private Inference
NK Jha, B Reagen
arXiv preprint arXiv:2304.10593, 2023
Cryptonite: Revealing the pitfalls of end-to-end private inference at scale
K Garimella, NK Jha, Z Ghodsi, S Garg, B Reagen
arXiv preprint arXiv:2111.02583, 2021
On the demystification of knowledge distillation: A residual network perspective
NK Jha, R Saini, S Mittal
arXiv preprint arXiv:2006.16589, 2020
Hardware-Aware Co-Optimization of Deep Convolutional Neural Networks
NK Jha
Indian Institute of Technology Hyderabad, 2020
ICCD 2019 Poster Session List
M Li, H Lin, Q Jiang, H An, CT Do, CH Kim, SW Chung, K Oh, J Park, ...
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