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J. D. Tygar

4 papers · 2007–2016 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+1 more ↓ 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird
πŸ“ˆ Trend Setter

Venues

NeurIPS (2) ICML (1) JMLR (1)

Top co-authors

Alex Kantchelian (2) Ling Huang (2) Anthony D Joseph (1) Anthony Joseph (1) Satish Rao (1) Alvaro Cardenas (1) Marco Barreno (1) Michael C Tschantz (1) Benjamin I. P. Rubinstein (1) Blaine Nelson (1)

Research topics

Machine Learning (4) Core Methods (4) Learning Types (2) Optimization & Theory Β· Machine Learning (2) Deep Learning (1) Mathematics & Optimization (1) Optimization (1) Optimization & Theory Β· Deep Learning (1)

Keywords

convex optimization (2) classifier evasion (2) binary classification (2) large margin (1) large margin classification (1) roc curve analysis (1) classifier combination (1) neyman-pearson lemma (1) gradient boosting (1) large margin classifier (1) roc curve (1) decision rule optimization (1) tree ensemble (1) polytope machine (1) support vector machine (1) binary classifier (1) adversarial example (1) random forest (1) convex polytope (1) kernel support vector machine (1)

Papers

Evasion and Hardening of Tree Ensemble Classifiers ICML 2016 Large-Margin Convex Polytope Machine NeurIPS 2014 Query Strategies for Evading Convex-Inducing Classifiers JMLR 2012 Optimal ROC Curve for a Combination of Classifiers NeurIPS 2007