Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
Evasion-robust classification on binary domains
Bo Li
, Yevgeniy Vorobeychik
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Evasion-robust classification on binary domains'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Adversary
100%
Robust Classification
100%
Mixed Integer Linear Programming
66%
Adversarial Loss
66%
Feature Space
33%
Loss Minimization
33%
Mixed Integer Programming
33%
Algorithmic Problems
33%
Evade
33%
Malware Detection
33%
Misspecification
33%
Attack Model
33%
Spam Detection
33%
Programming Approaches
33%
Adversarial Setting
33%
Constraint Generation
33%
Deliberate Effort
33%
Classification Learning
33%
Adversarial Model
33%
Adversarial Learning
33%
Binary Features
33%
Computer Science
Mixed-Integer Linear Programming
100%
Feature Space
50%
Attack Model
50%
Loss Minimization
50%
spam detection
50%
Malware Detection
50%
Adversarial Setting
50%
Classification Learning
50%
Mixed Integer Programming
50%
Adversarial Model
50%
Binary Feature
50%