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Alex Kantchelian
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Books and Theses
- 2016
- [b1]Alex Kantchelian:
Taming Evasions in Machine Learning Based Detection Pipelines. University of California, Berkeley, USA, 2016
Conference and Workshop Papers
- 2016
- [c8]Shuang Hao, Alex Kantchelian, Brad Miller, Vern Paxson, Nick Feamster:
PREDATOR: Proactive Recognition and Elimination of Domain Abuse at Time-Of-Registration. CCS 2016: 1568-1579 - [c7]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:
Reviewer Integration and Performance Measurement for Malware Detection. DIMVA 2016: 122-141 - [c6]Alex Kantchelian, J. D. Tygar, Anthony D. Joseph:
Evasion and Hardening of Tree Ensemble Classifiers. ICML 2016: 2387-2396 - 2015
- [c5]Alex Kantchelian, Michael Carl Tschantz, Sadia Afroz, Brad Miller, Vaishaal Shankar, Rekha Bachwani, Anthony D. Joseph
, J. Doug Tygar:
Better Malware Ground Truth: Techniques for Weighting Anti-Virus Vendor Labels. AISec@CCS 2015: 45-56 - 2014
- [c4]Brad Miller, Alex Kantchelian, Sadia Afroz, Rekha Bachwani, Edwin Dauber
, Ling Huang, Michael Carl Tschantz, Anthony D. Joseph
, J. Doug Tygar:
Adversarial Active Learning. AISec@CCS 2014: 3-14 - [c3]Alex Kantchelian, Michael Carl Tschantz, Ling Huang, Peter L. Bartlett, Anthony D. Joseph, J. Doug Tygar:
Large-Margin Convex Polytope Machine. NIPS 2014: 3248-3256 - 2013
- [c2]Alex Kantchelian, Sadia Afroz, Ling Huang, Aylin Caliskan Islam, Brad Miller, Michael Carl Tschantz, Rachel Greenstadt, Anthony D. Joseph
, J. D. Tygar:
Approaches to adversarial drift. AISec 2013: 99-110 - 2012
- [c1]Alex Kantchelian, Justin Ma, Ling Huang, Sadia Afroz, Anthony D. Joseph
, J. D. Tygar:
Robust detection of comment spam using entropy rate. AISec 2012: 59-70
Informal and Other Publications
- 2024
- [i4]Birkett Huber, Casper Neo, Keiran Sampson, Alex Kantchelian, Brett Ksobiech, Yanis Pavlidis:
Fine Grained Insider Risk Detection. CoRR abs/2411.02645 (2024) - [i3]Alex Kantchelian, Casper Neo, Ryan Stevens, Hyungwon Kim, Zhaohao Fu, Sadegh Momeni, Birkett Huber, Elie Bursztein, Yanis Pavlidis, Senaka Buthpitiya, Martin Cochran, Massimiliano Poletto:
Facade: High-Precision Insider Threat Detection Using Deep Contextual Anomaly Detection. CoRR abs/2412.06700 (2024) - 2015
- [i2]Alex Kantchelian, J. D. Tygar, Anthony D. Joseph:
Evasion and Hardening of Tree Ensemble Classifiers. CoRR abs/1509.07892 (2015) - [i1]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:
Back to the Future: Malware Detection with Temporally Consistent Labels. CoRR abs/1510.07338 (2015)
Coauthor Index
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