A General Retraining Framework for Scalable Adversarial Classification

On the convergence of the coordinate descent method for convex differentiable minimization

Zhi-Quan Luo and Paul Tseng · 1992

Earlier work this paper cites.

Adaptive fraud detection

Tom Fawcett and Foster Provost · 1997

Earlier work this paper cites.

Learning nonstationary models of normal network traffic for detecting novel attacks

Matthew V Mahoney and Philip K Chan · 2002

Earlier work this paper cites.

Robust classification with interval data

Laurent El Ghaoui, Gert René Georges Lanckriet, Georges Natsoulis, et al · 2003

Earlier work this paper cites.

The enron corpus: A new dataset for email classification research

Bryan Klimt and Yiming Yang · 2004

Earlier work this paper cites.

Adversarial classification

Nilesh Dalvi, Pedro Domingos, Sumit Sanghai, Deepak Verma, et al · 2004

Earlier work this paper cites.

Convex Optimization

Stephen Boyd and Lieven Vandenberghe · 2004

Earlier work this paper cites.

Adversarial learning

Daniel Lowd and Christopher Meek · 2005

Earlier work this paper cites.

Polymorphic blending attacks

Prahlad Fogla, Monirul I Sharif, Roberto Perdisci, Oleg M Kolesnikov, and Wenke Lee · 2006

Cited alongside, same era.

Nightmare at test time: robust learning by feature deletion

Amir Globerson and Sam Roweis · 2006

Cited alongside, same era.

Exploiting redundancy in natural language to penetrate bayesian spam filters

Christoph Karlberger, Günther Bayler, Christopher Kruegel, and Engin Kirda · 2007

Cited alongside, same era.

Convex learning with invariances

Choon H Teo, Amir Globerson, Sam T Roweis, and Alex J Smola · 2007

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Feature weighting for improved classifier robustness

Aleksander Kołcz and Choon Hui Teo · 2009

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Mnist handwritten digit database

Yann LeCun and Corinna Cortes · 2010

Cited alongside, same era.

Query strategies for evading convex-inducing classifiers

Blaine Nelson, Benjamin IP Rubinstein, Ling Huang, Anthony D Joseph, Steven J Lee, Satish Rao, and JD Tygar · 2012

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Feature cross-substitution in adversarial classification

Bo Li and Yevgeniy Vorobeychik · 2014

Later among the works it cites.

Security evaluation of pattern classifiers under attack

Battista Biggio, Giorgio Fumera, and Fabio Roli · 2014

Later among the works it cites.

Explaining and harnessing adversarial examples

Original

Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014

Later among the works it cites.

Scalable optimization of randomized operational decisions in adversarial classification settings

Bo Li and Yevgeniy Vorobeychik · 2015

Later among the works it cites.

Evasion and hardening of tree ensemble classifiers