Blaine Nelson

3.4k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Blaine Nelson is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Blaine Nelson has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 3 papers in Signal Processing. Recurrent topics in Blaine Nelson's work include Adversarial Robustness in Machine Learning (8 papers), Anomaly Detection Techniques and Applications (7 papers) and Network Security and Intrusion Detection (7 papers). Blaine Nelson is often cited by papers focused on Adversarial Robustness in Machine Learning (8 papers), Anomaly Detection Techniques and Applications (7 papers) and Network Security and Intrusion Detection (7 papers). Blaine Nelson collaborates with scholars based in United States, Germany and Italy. Blaine Nelson's co-authors include Anthony D. Joseph, Benjamin I. P. Rubinstein, J. D. Tygar, Ling Huang, Battista Biggio, Pavel Laskov, Fabio Roli, Claudia Eckert, Xiao Huang and Han Xiao and has published in prestigious journals such as Neurocomputing, Journal of Machine Learning Research and UNICA IRIS Institutional Research Information System (University of Cagliari).

In The Last Decade

Blaine Nelson

13 papers receiving 1.0k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Adversarial machine learning

2011 648 citations Ling Huang, Anthony D. Joseph et al. profile →

Peers

Countries citing papers authored by Blaine Nelson

Since Specialization

Citations

This map shows the geographic impact of Blaine Nelson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Blaine Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Blaine Nelson more than expected).

Fields of papers citing papers by Blaine Nelson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Blaine Nelson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Blaine Nelson. The network helps show where Blaine Nelson may publish in the future.

Co-authorship network of co-authors of Blaine Nelson

This figure shows the co-authorship network connecting the top 25 collaborators of Blaine Nelson. A scholar is included among the top collaborators of Blaine Nelson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Blaine Nelson. Blaine Nelson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Tree of Attacks: Jailbreaking Black-Box LLMs Automatically 2024 ·Hyrum S. Anderson, Amin Karbasi, (unknown), (unknown), Blaine Nelson, Yaron Singer, (unknown)	2
2	Adversarial Machine Learning 2019 ·Cambridge University Press eBooks ·Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, J. D. Tygar	37
3	Support vector machines under adversarial label contamination 2015 ·Neurocomputing ·Xiao Huang, Battista Biggio, Blaine Nelson, Han Xiao, Claudia Eckert, Fabio Roli	133
4	Machine Learning Methods for Computer Security (Dagstuhl Perspectives Workshop 12371) 2013 ·DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) ·Anthony D. Joseph, Pavel Laskov, Fabio Roli, J. D. Tygar, Blaine Nelson	11
5	Summary/overview for artificial intelligence and security (AISec'13) 2013 ·Chalmers Research (Chalmers University of Technology) ·Blaine Nelson, Christos Dimitrakakis, Elaine Shi	1
6	Query strategies for evading convex-inducing classifiers 2012 ·Journal of Machine Learning Research ·Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, (unknown), Satish Rao, J. D. Tygar	48
7	Support Vector Machines Under Adversarial Label Noise 2011 ·UNICA IRIS Institutional Research Information System (University of Cagliari) ·Battista Biggio, Blaine Nelson, Pavel Laskov	158
8	Understanding the risk factors of learning in adversarial environments 2011 ·UNICA IRIS Institutional Research Information System (University of Cagliari) ·Blaine Nelson, Battista Biggio, Pavel Laskov	11
9	Adversarial machine learning breakdown → 2011 ·Ling Huang, Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, J. D. Tygar	648
10	Evading Anomaly Detection through Variance Injection Attacks on PCA (Extended Abstract) 2008 ·Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Nina Taft, J. D. Tygar	2
11	Compromising PCA-based Anomaly Detectors for Network-Wide Traffic 2008 ·UC Berkeley ·Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Nina Taft, Doug Tygar	18
12	Designing, Implementing, and Analyzing a System for Virus Detection 2006 ·UC Berkeley ·Blaine Nelson	3
13	Analyzing Behavioral Features for Email Classification. 2005 ·(unknown), Blaine Nelson, (unknown), (unknown), Anthony D. Joseph	40
14	A comparison of neural networks and subspace detectors for the discrimination of low-metal-content landmines 2003 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Blaine Nelson, Deborah Schofield, Leslie M. Collins	3
15	GOES R-Series: Selectable and Programmable Operations of a Distributed Geostationary Constellation 2003 ·(unknown), Eric J. Miller, (unknown), (unknown), Blaine Nelson	1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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