Cristina Nita-Rotaru

Artificial Intelligence · 2002–2018

A researcher in the Science corpus: 7 papers; trusts 34 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 109 citations into it; #14,475 of 35,345 by trust here, #10,430 by citations
• Safety, Robustness & Interpretability — 80 citations into it; #1,008 of 2,251 by trust here, #915 by citations
• Computer Networks and Communications — 68 citations into it; #3,832 of 9,886 by trust here, #1,515 by citations
• Signal Processing — 56 citations into it; #5,583 of 7,572 by trust here, #2,990 by citations
• Information Systems — 31 citations into it; #3,951 of 8,771 by trust here, #1,867 by citations
• Sociology and Political Science — 15 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Natural Language Processing — 7 citations into it

Whom Cristina Nita-Rotaru trusts overall

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

1. Battista Biggio
2. William Enck
3. Blaine Nelson
4. Shike Mei
5. Steven Bird
6. Sonja Buchegger
7. Charu C. Aggarwal
8. Pietro Michiardi
9. Aameek Singh
10. Alice Cheng

Who trusts Cristina Nita-Rotaru overall

1. Jean-Pierre Hubaux
2. Virat Shejwalkar
3. Pang Wei Koh
4. Jacob Steinhardt
5. Zhiyi Tian

Papers from Cristina Nita-Rotaru's perspective

Ordered by how strongly the researchers Cristina Nita-Rotaru 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. Intriguing properties of neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Explaining and Harnessing Adversarial Examples
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning (2018) — 882 citations
• On the Practicality of Integrity Attacks on Document-Level Sentiment Analysis (2014) — 59 citations
• An on-demand secure routing protocol resilient to byzantine failures (2002) — 620 citations
• A survey of attack and defense techniques for reputation systems (2009) — 957 citations
• Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks (2018) — 477 citations
• Android permissions: a perspective combining risks and benefits (2012) — 351 citations
• Using probabilistic generative models for ranking risks of Android apps (2012) — 421 citations