Sotabase

Career

· Engineering Architect, Cisco2021–
· Senior Software Engineer, Google2016–2021
· Postdoctoral Researcher, University of Potsdam2013–2014
· Humboldt Postdoctoral Research Fellow, University of Tübingen2011–2013
· PhD in Computer Science, UC Berkeley2010–
· Bachelor's degree, University of South Carolina

Publications (54)

Evasion Attacks against Machine Learning at Test Time
ECML/PKDD · 2013
2,266
cited
Poisoning Attacks against Support Vector Machines
International Conference on Machine Learning · 2012
1,759
cited
Adversarial machine learning
Security and Artificial Intelligence · 2019
1,522
cited
Can machine learning be secure?
ACM Asia Conference on Computer and Communications Security · 2006
993
cited
The security of machine learning
Machine-mediated learning · 2010
913
cited
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
ACM/SIGCOMM Internet Measurement Conference · 2009
425
cited
Support Vector Machines Under Adversarial Label Noise
Asian Conference on Machine Learning · 2011
411
cited
Exploiting Machine Learning to Subvert Your Spam Filter
USENIX Workshop on Large-Scale Exploits and Emergent Threats · 2008
391
cited
Support vector machines under adversarial label contamination
Neurocomputing · 2015
239
cited
Security Evaluation of Support Vector Machines in Adversarial Environments
arXiv.org · 2014
127
cited
Misleading Learners: Co-opting Your Spam Filter
2009
124
cited
Query Strategies for Evading Convex-Inducing Classifiers
Journal of machine learning research · 2010
123
cited
Robust and Private Bayesian Inference
International Conference on Algorithmic Learning Theory · 2013
119
cited
Analyzing Behavioral Features for Email Classification
International Conference on Email and Anti-Spam · 2005
83
cited
Differential Privacy for Bayesian Inference through Posterior Sampling
Journal of machine learning research · 2017
70
cited
Stealthy poisoning attacks on PCA-based anomaly detectors
Sigmetrics Performance Evaluation Review · 2009
64
cited
Near-Optimal Evasion of Convex-Inducing Classifiers
International Conference on Artificial Intelligence and Statistics · 2010
54
cited
Open problems in the security of learning
Security and Artificial Intelligence · 2008
44
cited
Classifier Evasion: Models and Open Problems
Privacy and Security Issues in Data Mining and Machine Learning · 2010
39
cited
Compromising PCA-based Anomaly Detectors for Network-Wide Traffic
2008
33
cited
Sotabase
Blaine Nelson | Researcher Profile | Sotabase | Sotabase