101 citations · 124 across the 6 of their papers we have counts for
6 papers
Reviewer Integration and Performance Measurement for Malware Detection
Brad Miller, Alex Kantchelian, Michael Carl Tschantz +9
We present and evaluate a large-scale malware detection system integrating machine learning with expert reviewers, treating reviewers as a limited labeling resource. We demonstrate…
Evasion and Hardening of Tree Ensemble Classifiers
Alex Kantchelian, J. D. Tygar, Anthony D. Joseph
Classifier evasion consists in finding for a given instance the nearest instance such that the classifier predictions of and are different. We present two novel a…
On Modeling the Costs of Censorship
Michael Carl Tschantz, Sadia Afroz, Vern Paxson +1
We argue that the evaluation of censorship evasion tools should depend upon economic models of censorship. We illustrate our position with a simple model of the costs of censorship…
I Know Why You Went to the Clinic: Risks and Realization of HTTPS Traffic Analysis
Brad Miller, Ling Huang, A. D. Joseph +1
Revelations of large scale electronic surveillance and data mining by governments and corporations have fueled increased adoption of HTTPS. We present a traffic analysis attack aga…
Query Strategies for Evading Convex-Inducing Classifiers
Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang +4
Classifiers are often used to detect miscreant activities. We study how an adversary can systematically query a classifier to elicit information that allows the adversary to evade…
Near-Optimal Evasion of Convex-Inducing Classifiers
Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang +6
Classifiers are often used to detect miscreant activities. We study how an adversary can efficiently query a classifier to elicit information that allows the adversary to evade det…