Alex Kantchelian

According to our database, Alex Kantchelian authored at least 12 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Facade: High-Precision Insider Threat Detection Using Deep Contextual Anomaly Detection.

Alex Kantchelian, Casper Neo, Ryan Stevens, Hyungwon Kim, Zhaohao Fu, Sadegh Momeni, Birkett Huber, Elie Bursztein, Yanis Pavlidis, Senaka Buthpitiya, Martin Cochran, Massimiliano Poletto

CoRR, 2024

Fine Grained Insider Risk Detection.

Birkett Huber, Casper Neo, Keiran Sampson, Alex Kantchelian, Brett Ksobiech, Yanis Pavlidis

CoRR, 2024

2016

Taming Evasions in Machine Learning Based Detection Pipelines.

Alex Kantchelian

PhD thesis, 2016

Evasion and Hardening of Tree Ensemble Classifiers.

Alex Kantchelian, J. D. Tygar, Anthony D. Joseph

Proceedings of the 33nd International Conference on Machine Learning, 2016

Reviewer Integration and Performance Measurement for Malware Detection.

Brad Miller, Alex Kantchelian, Michael Carl Tschantz, Sadia Afroz, Rekha Bachwani, Riyaz Faizullabhoy, Ling Huang, Vaishaal Shankar, Tony Wu, George Yiu, Anthony D. Joseph, J. D. Tygar

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2016

PREDATOR: Proactive Recognition and Elimination of Domain Abuse at Time-Of-Registration.

Shuang Hao, Alex Kantchelian, Brad Miller, Vern Paxson, Nick Feamster

Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016

2015

Back to the Future: Malware Detection with Temporally Consistent Labels.

Brad Miller, Alex Kantchelian, Michael Carl Tschantz, Sadia Afroz, Rekha Bachwani, Riyaz Faizullabhoy, Ling Huang, Vaishaal Shankar, Tony Wu, George Yiu, Anthony D. Joseph, J. D. Tygar

CoRR, 2015

Better Malware Ground Truth: Techniques for Weighting Anti-Virus Vendor Labels.

Alex Kantchelian, Michael Carl Tschantz, Sadia Afroz, Brad Miller, Vaishaal Shankar, Rekha Bachwani, Anthony D. Joseph, J. Doug Tygar

Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security, 2015

2014

Large-Margin Convex Polytope Machine.

Alex Kantchelian, Michael Carl Tschantz, Ling Huang, Peter L. Bartlett, Anthony D. Joseph, J. Doug Tygar

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Adversarial Active Learning.

Brad Miller, Alex Kantchelian, Sadia Afroz, Rekha Bachwani, Edwin Dauber, Ling Huang, Michael Carl Tschantz, Anthony D. Joseph, J. Doug Tygar

Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop, 2014

2013

Approaches to adversarial drift.

Alex Kantchelian, Sadia Afroz, Ling Huang, Aylin Caliskan Islam, Brad Miller, Michael Carl Tschantz, Rachel Greenstadt, Anthony D. Joseph, J. D. Tygar

Proceedings of the AISec'13, 2013

2012

Robust detection of comment spam using entropy rate.

Alex Kantchelian, Justin Ma, Ling Huang, Sadia Afroz, Anthony D. Joseph, J. D. Tygar

Proceedings of the 5th ACM Workshop on Security and Artificial Intelligence, 2012