Nandan Kumar Jha

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Digital Storytelling

Top Venues

Publications

Nandan Kumar Jha, Brandon Reagen
DeepReShape: Redesigning Neural Networks for Efficient Private Inference. Trans. Mach. Learn. Res. 2024 (2024)
Karthik Garimella, Zahra Ghodsi, Nandan Kumar Jha, Siddharth Garg, Brandon Reagen
Characterizing and Optimizing End-to-End Systems for Private Inference. ASPLOS (3) (2023)
Nandan Kumar Jha, Brandon Reagen
DeepReShape: Redesigning Neural Networks for Efficient Private Inference. CoRR (2023)
Karthik Garimella, Zahra Ghodsi, Nandan Kumar Jha, Siddharth Garg, Brandon Reagen
Characterizing and Optimizing End-to-End Systems for Private Inference. CoRR (2022)
Zahra Ghodsi, Nandan Kumar Jha, Brandon Reagen, Siddharth Garg
Circa: Stochastic ReLUs for Private Deep Learning. NeurIPS (2021)
Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen
DeepReDuce: ReLU Reduction for Fast Private Inference. ICML (2021)
Chika Udeaja, Lukman E. Mansuri, Busisiwe Chikomborero Ncube Makore, Kwasi Gyau Baffour Awuah, Dilip A. Patel, Claudia Trillo, Nandan Kumar Jha
Digital Storytelling: The Integration of Intangible and Tangible Heritage in the City of Surat, India. HCI (33) (2021)
Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen
DeepReDuce: ReLU Reduction for Fast Private Inference. CoRR (2021)
Nandan Kumar Jha, Sparsh Mittal
Modeling Data Reuse in Deep Neural Networks by Taking Data-Types into Cognizance. IEEE Trans. Computers 70 (9) (2021)
Karthik Garimella, Nandan Kumar Jha, Brandon Reagen
Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning. CoRR (2021)
Zahra Ghodsi, Nandan Kumar Jha, Brandon Reagen, Siddharth Garg
Circa: Stochastic ReLUs for Private Deep Learning. CoRR (2021)
Karthik Garimella, Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale. CoRR (2021)
Rajat Saini, Nandan Kumar Jha, Bedanta Das, Sparsh Mittal, C. Krishna Mohan
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks. WACV (2020)
Nandan Kumar Jha, Shreyas Ravishankar, Sparsh Mittal, Arvind Kaushik, Dipan Mandal, Mahesh Chandra
DRACO: Co-Optimizing Hardware Utilization, and Performance of DNNs on Systolic Accelerator. CoRR (2020)
Rajat Saini, Nandan Kumar Jha, Bedanta Das, Sparsh Mittal, C. Krishna Mohan
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks. CoRR (2020)
Nandan Kumar Jha, Sparsh Mittal, Binod Kumar, Govardhan Mattela
DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs. CoRR (2020)
Nandan Kumar Jha, Rajat Saini, Subhrajit Nag, Sparsh Mittal
E2GC: Energy-efficient Group Convolution in Deep Neural Networks. VLSI Design (2020)
Nandan Kumar Jha, Sparsh Mittal
Modeling Data Reuse in Deep Neural Networks by Taking Data-Types into Cognizance. CoRR (2020)
Nandan Kumar Jha, Sparsh Mittal, Govardhan Mattela
The Ramifications of Making Deep Neural Networks Compact. CoRR (2020)
Nandan Kumar Jha, Sparsh Mittal, Binod Kumar, Govardhan Mattela
DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs. ACM J. Emerg. Technol. Comput. Syst. 17 (1) (2020)
Nandan Kumar Jha, Rajat Saini, Sparsh Mittal
On the Demystification of Knowledge Distillation: A Residual Network Perspective. CoRR (2020)
Nandan Kumar Jha, Shreyas Ravishankar, Sparsh Mittal, Arvind Kaushik, Dipan Mandal, Mahesh Chandra
DRACO: Co-Optimizing Hardware Utilization, and Performance of DNNs on Systolic Accelerator. ISVLSI (2020)
Nandan Kumar Jha, Rajat Saini, Subhrajit Nag, Sparsh Mittal
E2GC: Energy-efficient Group Convolution in Deep Neural Networks. CoRR (2020)
Nandan Kumar Jha, Sparsh Mittal, Govardhan Mattela
The Ramifications of Making Deep Neural Networks Compact. VLSI Design (2019)