Prateek Saxena
Artificial Intelligence · 2008–2021
A researcher in the Science corpus: 14 papers; trusts 49 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 136 citations into it; #9,577 of 35,345 by trust here, #3,937 by citations
- Information Systems — 74 citations into it; #2,601 of 8,771 by trust here, #387 by citations
- Computer Networks and Communications — 62 citations into it
- Signal Processing — 56 citations into it; #3,119 of 7,572 by trust here, #960 by citations
- Privacy & Security — 26 citations into it; #355 of 709 by trust here, #336 by citations
- Safety, Robustness & Interpretability — 18 citations into it; #1,037 of 2,251 by trust here, #1,404 by citations
- Computer Vision and Pattern Recognition — 16 citations into it
- Hardware and Architecture — 16 citations into it
Whom Prateek Saxena trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vijay Ganesh
- Geoffrey E. Hinton
- Yoshua Bengio
- Adam Kiezun
- Anthony Dewayne Hunt
- J. Urgen Schmidhuber
- Yann LeCun
- Richard Socher
- Ran Canetti
- Tomas Mikolov
Who trusts Prateek Saxena overall
- Koushik Sen
- Chad Brubaker
- Zhemin Yang
- Hung Dang
- Florian Tramèr
- Tien Tuan Anh Dinh
- Christof Ferreira Torres
- Daniel Macrinici
- Clement Fung
- Zhenguang Liu
Papers from Prateek Saxena's perspective
Ordered by how strongly the researchers Prateek Saxena trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Auror: defending against poisoning attacks in collaborative deep learning systems (2016) — 365 citations
- A review on the progress and challenges of binder jet 3D printing of sand moulds for advanced casting (2021) — 139 citations
- Numerical simulation of heat distribution in RGO-contacted perovskite solar cells using COMSOL (2020) — 151 citations
- Finding The Greedy, Prodigal, and Suicidal Contracts at Scale (2018) — 673 citations
- Neural Nets Can Learn Function Type Signatures From Binaries (2017) — 179 citations
- On Scaling Decentralized Blockchains - (A Position Paper) (2016) — 540 citations
- Making Smart Contracts Smarter (2016) — 2,368 citations
- A Secure Sharding Protocol For Open Blockchains (2016) — 1,422 citations
- Preventing Page Faults from Telling Your Secrets (2016) — 234 citations
- Data-Oriented Programming: On the Expressiveness of Non-control Data Attacks (2016) — 429 citations
- M2R: Enabling Stronger Privacy in MapReduce Computation (2015) — 131 citations
- Demystifying Incentives in the Consensus Computer (2015) — 264 citations
- A Symbolic Execution Framework for JavaScript (2010) — 537 citations
- BitBlaze: A New Approach to Computer Security via Binary Analysis (2008) — 799 citations