Debdeep Mukhopadhyay

Artificial Intelligence · 2011–2022

A researcher in the Science corpus: 4 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 94 citations into it
• Safety, Robustness & Interpretability — 73 citations into it
• Computer Vision and Pattern Recognition — 37 citations into it
• Signal Processing — 28 citations into it
• Privacy & Security — 20 citations into it
• Computer Networks and Communications — 19 citations into it
• Hardware and Architecture — 14 citations into it
• Information Systems — 10 citations into it

Whom Debdeep Mukhopadhyay trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Nicolas Papernot
2. Geoffrey E. Hinton
3. Christian Szegedy
4. Ian J. Goodfellow
5. Sergey Ioffe
6. Yann LeCun
7. Alex Krizhevsky
8. Yoshua Bengio
9. Nicholas Carlini
10. Patrick Drew McDaniel

Papers from Debdeep Mukhopadhyay's perspective

Ordered by how strongly the researchers Debdeep Mukhopadhyay trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Adversarial Attacks and Defences: A Survey (2018) — 745 citations
• A survey on adversarial attacks and defences (2021) — 457 citations
• NN-Lock: A Lightweight Authorization to Prevent IP Threats of Deep Learning Models (2022) — 17 citations
• Differential Fault Analysis of the Advanced Encryption Standard Using a Single Fault (2011) — 375 citations