Special Issue on Robust Machine Learning

In this topical collection (12 articles)

1. OriginalPaper

   Stronger data poisoning attacks break data sanitization defenses

   Pang Wei Koh, Jacob Steinhardt, Percy Liang Pages 1-47

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2. EditorialNotes

   Guest Editorial: Special issue on robust machine learning

   Ransalu Senanayake, Daniel J. Fremont, Mykel J. Kochenderfer… Pages 2787-2789

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3. OriginalPaper

   Generating probabilistic safety guarantees for neural network controllers

   Sydney M. Katz, Kyle D. Julian, Christopher A. Strong… Pages 2903-2931

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4. OriginalPaper

   Diametrical Risk Minimization: theory and computations

   Matthew D. Norton, Johannes O. Royset Pages 2933-2951

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5. OriginalPaper

   Unified SVM algorithm based on LS-DC loss

   Shuisheng Zhou, Wendi Zhou Pages 2975-3002

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6. OriginalPaper

   Global optimization of objective functions represented by ReLU networks

   Christopher A. Strong, Haoze Wu, Aleksandar Zeljić, Kyle D. Julian… Pages 3685-3712

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7. OriginalPaper

   Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics

   Felix Berkenkamp, Andreas Krause, Angela P. Schoellig Pages 3713-3747

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8. OriginalPaper

   Byzantine-robust distributed sparse learning for M-estimation

   Jiyuan Tu, Weidong Liu, Xiaojun Mao Pages 3773-3804

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9. OriginalPaper

   Scenic: a language for scenario specification and data generation

   Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh… Pages 3805-3849

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10. OriginalPaper

    LADDER: Latent boundary-guided adversarial training

    Xiaowei Zhou, Ivor W. Tsang, Jie Yin Pages 3851-3879

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11. OriginalPaper

    Metrics and methods for robustness evaluation of neural networks with generative models

    Igor Buzhinsky, Arseny Nerinovsky, Stavros Tripakis Pages 3977-4012

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12. OriginalPaper

    Adversarial concept drift detection under poisoning attacks for robust data stream mining

    Łukasz Korycki, Bartosz Krawczyk Pages 4013-4048

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