Cody Burkard

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #16,906 of 35,345 by trust here, #27,551 by citations
• Safety, Robustness & Interpretability — 10 citations into it
• Computer Networks and Communications — 8 citations into it; #4,055 of 9,886 by trust here, #7,140 by citations
• Signal Processing — 6 citations into it
• Information Systems — 5 citations into it

Whom Cody Burkard trusts overall

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

1. Battista Biggio
2. Blaine Nelson
3. Ling Huang
4. Marco Barreno
5. Anthony D. Joseph
6. Benjamin I. P. Rubinstein
7. J. Doug Tygar
8. Fabian Pedregosa
9. Igino Corona
10. Fabio Roli

Who trusts Cody Burkard overall

1. Jacob Steinhardt
2. Aniruddha Saha
3. Pang Wei Koh
4. Qiang Liu
5. Akshayvarun Subramanya
6. Percy Liang
7. Pan Li
8. Hamed Pirsiavash
9. Alexander Turner

Papers from Cody Burkard's perspective

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

1. Can machine learning be secure?
2. The security of machine learning
3. Misleading Learners: Co-opting Your Spam Filter
4. Adversarial machine learning
5. Poisoning Attacks against Support Vector Machines
6. Adversarial learning
7. Nightmare at test time: robust learning by feature deletion
8. Scikit-learn: Machine Learning in Python
9. Security Evaluation of Support Vector Machines in Adversarial Environments
10. Understanding the risk factors of learning in adversarial environments

Their papers

• Analysis of Causative Attacks against SVMs Learning from Data Streams (2017) — 59 citations