Chen Hajaj

Safety, Robustness & Interpretability · 2017

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 43 citations into it
• Artificial Intelligence — 40 citations into it
• Signal Processing — 30 citations into it
• Computer Networks and Communications — 26 citations into it
• Privacy & Security — 14 citations into it
• Information Systems — 13 citations into it
• Statistical Learning Theory — 8 citations into it
• Game & Decision Theory — 6 citations into it

Whom Chen Hajaj trusts overall

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

1. Nedim Srndic
2. Ian J. Goodfellow
3. Pavel Laskov
4. Yevgeniy Vorobeychik
5. Blaine Nelson
6. Battista Biggio
7. Daniel Lowd
8. Bo Li
9. Marco Cova
10. Weilin Xu

Papers from Chen Hajaj's perspective

Ordered by how strongly the researchers Chen Hajaj 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. Explaining and Harnessing Adversarial Examples
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Hardening Classifiers against Evasion: the Good, the Bad, and the Ugly (2017) — 9 citations
• Feature Conservation in Adversarial Classifier Evasion: A Case Study (2017) — 9 citations