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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

Minimizing Trust Leaks for Robust Sybil Detection ICML 2017
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation NIPS 2017
Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent NIPS 2017
Efficient Label Contamination Attacks Against Black-Box Learning Models IJCAI 2017
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks CVPR 2016
Feature Cross-Substitution in Adversarial Classification NIPS 2014
Compete to Compute NIPS 2013
Support Vector Machines Under Adversarial Label Noise ACML 2011
Near-Optimal Evasion of Convex-Inducing Classifiers AISTATS 2010
Nash Equilibria of Static Prediction Games NIPS 2009