Eyal Ronen

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Safety, Robustness & Interpretability — 24 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Eyal Ronen trusts overall

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

1. James L. Massey
2. Nicholas Carlini
3. Christian Szegedy
4. Shixiang Shane Gu
5. Nicolas Papernot

Who trusts Eyal Ronen overall

1. Ioannis Stellios
2. Yinhao Xiao
3. Mohammed Ali Al-Garadi

Papers from Eyal Ronen's perspective

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

1. Intriguing properties of neural networks
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Towards Deep Learning Models Resistant to Adversarial Attacks
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance (2019) — 97 citations
• IoT Goes Nuclear: Creating a ZigBee Chain Reaction (2017) — 479 citations