Adversarial Regression with Multiple Learners
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[1] Tobias Scheffer,et al. Stackelberg games for adversarial prediction problems , 2011, KDD.
[2] N. Higham. Analysis of the Cholesky Decomposition of a Semi-definite Matrix , 1990 .
[3] J. Goodman. Note on Existence and Uniqueness of Equilibrium Points for Concave N-Person Games , 1965 .
[4] Paulo Cortez,et al. Modeling wine preferences by data mining from physicochemical properties , 2009, Decis. Support Syst..
[5] Yevgeniy Vorobeychik,et al. Noncooperatively Optimized Tolerance: Decentralized Strategic Optimization in Complex Systems , 2011, Physical review letters.
[6] Tobias Scheffer,et al. Bayesian Games for Adversarial Regression Problems , 2013, ICML.
[7] Fabio Roli,et al. Secure Kernel Machines against Evasion Attacks , 2016, AISec@CCS.
[8] Pedro M. Domingos,et al. Adversarial classification , 2004, KDD.
[9] Yevgeniy Vorobeychik,et al. Feature Cross-Substitution in Adversarial Classification , 2014, NIPS.
[10] Shie Mannor,et al. Robust Regression and Lasso , 2008, IEEE Transactions on Information Theory.
[11] Yevgeniy Vorobeychik,et al. Multidefender Security Games , 2015, IEEE Intelligent Systems.
[12] D. Rubinfeld,et al. Hedonic housing prices and the demand for clean air , 1978 .
[13] Yevgeniy Vorobeychik,et al. Scalable Optimization of Randomized Operational Decisions in Adversarial Classification Settings , 2015, AISTATS.
[14] Christopher Meek,et al. Adversarial learning , 2005, KDD '05.
[15] Yevgeniy Vorobeychik,et al. Multi-Defender Strategic Filtering Against Spear-Phishing Attacks , 2016, AAAI.
[16] Huan Xu,et al. A Unified Robust Regression Model for Lasso-like Algorithms , 2013, ICML.
[17] Daniel M. Reeves,et al. Notes on Equilibria in Symmetric Games , 2004 .
[18] Paul Barford,et al. Data Poisoning Attacks against Autoregressive Models , 2016, AAAI.
[19] Bhavani M. Thuraisingham,et al. Adversarial support vector machine learning , 2012, KDD.
[20] David Stevens,et al. On the hardness of evading combinations of linear classifiers , 2013, AISec.
[21] Pavel Laskov,et al. Practical Evasion of a Learning-Based Classifier: A Case Study , 2014, 2014 IEEE Symposium on Security and Privacy.