Evasion and Hardening of Tree Ensemble Classifiers

v1v2 (latest)

Evasion and Hardening of Tree Ensemble Classifiers

25 September 2015

Alex Kantchelian

ArXiv (abs)PDF HTML

Papers citing "Evasion and Hardening of Tree Ensemble Classifiers"

11 / 11 papers shown

Title
Evasion Attacks against Machine Learning at Test Time Battista Biggio Igino Corona Davide Maiorca B. Nelson Nedim Srndic Pavel Laskov Giorgio Giacinto Fabio Roli AAML 157 2,153 0 21 Aug 2017
Limited-Memory Matrix Adaptation for Large Scale Black-box Optimization I. Loshchilov Tobias Glasmachers Hans-Georg Beyer ODL 76 18 0 18 May 2017
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 75 3,682 0 08 Feb 2016
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks Nicolas Papernot Patrick McDaniel Xi Wu S. Jha A. Swami AAML 113 3,077 0 14 Nov 2015
Efficient non-greedy optimization of decision trees Mohammad Norouzi Maxwell D. Collins Matthew W. Johnson David J. Fleet Pushmeet Kohli 141 111 0 12 Nov 2015
Analysis of classifiers' robustness to adversarial perturbations Alhussein Fawzi Omar Fawzi P. Frossard AAML 95 361 0 09 Feb 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 280 19,107 0 20 Dec 2014
Towards Deep Neural Network Architectures Robust to Adversarial Examples S. Gu Luca Rigazio AAML 76 844 0 11 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 169 3,275 0 05 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 277 14,961 1 21 Dec 2013
Query Strategies for Evading Convex-Inducing Classifiers B. Nelson Benjamin I. P. Rubinstein Ling Huang A. Joseph Steven J. Lee Satish Rao J. D. Tygar 113 124 0 03 Jul 2010

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.