Blaine Nelson

Zuhe Zhang

Aikaterini Mitrokotsa

J. Mach. Learn. Res., 2017

2015

Support vector machines under adversarial label contamination.

[BibT_eX]

[DOI]

Neurocomputing, 2015

2014

Security Evaluation of Support Vector Machines in Adversarial Environments.

[BibT_eX]

[DOI]

Igino Corona

CoRR, 2014

Robust and Private Bayesian Inference.

[BibT_eX]

[DOI]

Aikaterini Mitrokotsa

Proceedings of the Algorithmic Learning Theory - 25th International Conference, 2014

2013

Robust, Secure and Private Bayesian Inference.

[BibT_eX]

[DOI]

Aikaterini Mitrokotsa

CoRR, 2013

Evasion Attacks against Machine Learning at Test Time.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Summary/overview for artificial intelligence and security (AISec'13).

[BibT_eX]

[DOI]

Elaine Shi

Proceedings of the 2013 ACM SIGSAC Conference on Computer and Communications Security, 2013

2012

Query Strategies for Evading Convex-Inducing Classifiers.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2012

Machine Learning Methods for Computer Security (Dagstuhl Perspectives Workshop 12371).

[BibT_eX]

[DOI]

Dagstuhl Reports, 2012

Poisoning Attacks against Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Fifth ACM workshop on artificial intelligence and security (AISec 2012).

[BibT_eX]

[DOI]

Alvaro A. Cárdenas

Proceedings of the ACM Conference on Computer and Communications Security, 2012

2011

Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Support Vector Machines Under Adversarial Label Noise.

[BibT_eX]

[DOI]

Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Understanding the risk factors of learning in adversarial environments.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, 2011

Adversarial machine learning.

[BibT_eX]

[DOI]

Ling Huang

Anthony D. Joseph

J. D. Tygar

Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, 2011

2010

Behavior of Machine Learning Algorithms in Adversarial Environments.

[BibT_eX]

[DOI]

PhD thesis, 2010

The security of machine learning.

[BibT_eX]

[DOI]

Mach. Learn., 2010

Near-Optimal Evasion of Convex-Inducing Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Classifier Evasion: Models and Open Problems.

[BibT_eX]

[DOI]

Ling Huang

Anthony D. Joseph

J. D. Tygar

Proceedings of the Privacy and Security Issues in Data Mining and Machine Learning, 2010

2009

Stealthy poisoning attacks on PCA-based anomaly detectors.

[BibT_eX]

[DOI]

SIGMETRICS Perform. Evaluation Rev., 2009

ANTIDOTE: understanding and defending against poisoning of anomaly detectors.

[BibT_eX]

[DOI]

Proceedings of the 9th ACM SIGCOMM Internet Measurement Conference, IMC 2009, Chicago, 2009

2008

Evading Anomaly Detection through Variance Injection Attacks on PCA.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances in Intrusion Detection, 11th International Symposium, 2008

Exploiting Machine Learning to Subvert Your Spam Filter.

[BibT_eX]

[DOI]

Proceedings of the First USENIX Workshop on Large-Scale Exploits and Emergent Threats, 2008

Open problems in the security of learning.

[BibT_eX]

[DOI]

Udam Saini

J. Doug Tygar

Proceedings of the 1st ACM Workshop on Security and Artificial Intelligence, 2008

CircuitTSAT: A Solver for Large Instances of the Disjunctive Temporal Problem.

[BibT_eX]

[DOI]

T. K. Satish Kumar

Proceedings of the Eighteenth International Conference on Automated Planning and Scheduling, 2008

2007

Revisiting probabilistic models for clustering with pair-wise constraints.

[BibT_eX]

[DOI]