Octavian Suciu

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it
• Safety, Robustness & Interpretability — 54 citations into it; #2,150 of 2,251 by trust here, #737 by citations
• Computer Networks and Communications — 26 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Octavian Suciu trusts overall

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

1. Alex Krizhevsky
2. Nicolas Papernot
3. Yann LeCun
4. Christian Szegedy
5. Ian J. Goodfellow
6. Udam Saini
7. Nicholas Carlini
8. Geoffrey E. Hinton
9. Battista Biggio
10. Yoshua Bengio

Who trusts Octavian Suciu overall

1. Zhiyi Tian
2. Vale Tolpegin
3. Minghong Fang
4. Giorgio Severi
5. Fabio Pierazzi
6. Chen Zhu
7. W. Ronny Huang
8. Xiaoyu Cao
9. Ahmed Salem
10. Lei Cui

Papers from Octavian Suciu's perspective

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

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

Their papers

• When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks (2018) — 323 citations
• Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks (2018) — 1,286 citations
• Summoning Demons: The Pursuit of Exploitable Bugs in Machine Learning (2017) — 20 citations
• Vulnerability Disclosure in the Age of Social Media: Exploiting Twitter for Predicting Real-World Exploits (2015) — 331 citations