Saeed Mahloujifar
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 5 papers; trusts 52 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 87 citations into it; #27,033 of 35,345 by trust here, #21,878 by citations
- Safety, Robustness & Interpretability — 72 citations into it; #2,106 of 2,251 by trust here, #1,880 by citations
- Computer Networks and Communications — 26 citations into it
- Privacy & Security — 18 citations into it
- Signal Processing — 16 citations into it
- Statistics and Probability — 16 citations into it
- Statistical Learning Theory — 11 citations into it; #1,021 of 1,038 by trust here, #770 by citations
- Computer Vision and Pattern Recognition — 10 citations into it
Whom Saeed Mahloujifar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leslie G. Valiant
- Ilias Diakonikolas
- Blaine Nelson
- Nicolas Papernot
- Mohammad Mahmoody
- Cynthia Dwork
- Battista Biggio
- Michael Kearns
- Ian J. Goodfellow
- Marco Barreno
Who trusts Saeed Mahloujifar overall
- Mohammad Mahmoody
- Dimitrios I. Diochnos
- Dimitris Tsipras
- Alexander Turner
- Elvis Dohmatob
- Andrew Ilyas
- Ali Shafahi
- Chen Zhu
- W. Ronny Huang
- Micah Goldblum
Papers from Saeed Mahloujifar's perspective
Ordered by how strongly the researchers Saeed Mahloujifar 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
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Intriguing properties of neural networks
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure (2018) — 161 citations
- Multi-party Poisoning through Generalized p-Tampering (2018) — 13 citations
- Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution (2018) — 77 citations
- Learning under p-Tampering Attacks (2018) — 27 citations
- Blockwise p-Tampering Attacks on Cryptographic Primitives, Extractors, and Learners (2017) — 29 citations