Special Issue on Robust Machine Learning

Articles (12 in this collection)

1. LADDER: Latent boundary-guided adversarial training

   Authors

   • Xiaowei Zhou
   • Ivor W. Tsang
   • Jie Yin

   • Content type: OriginalPaper
   • Open Access
   • Published: 09 September 2022

   • Pages: 3851 - 3879

   

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

   Authors

   • Łukasz Korycki
   • Bartosz Krawczyk

   • Content type: OriginalPaper
   • Published: 02 June 2022

   • Pages: 4013 - 4048

   

3. Scenic: a language for scenario specification and data generation

   Authors (first, second and last of 7)

   • Daniel J. Fremont
   • Edward Kim
   • Sanjit A. Seshia

   • Content type: OriginalPaper
   • Open Access
   • Published: 02 February 2022

   • Pages: 3805 - 3849

   

4. Stronger data poisoning attacks break data sanitization defenses

   Authors

   • Pang Wei Koh
   • Jacob Steinhardt
   • Percy Liang

   • Content type: OriginalPaper
   • Published: 24 November 2021

   • Pages: 1 - 47

   

5. Guest Editorial: Special issue on robust machine learning

   Authors (first, second and last of 6)

   • Ransalu Senanayake
   • Daniel J. Fremont
   • Cheng Soon Ong

   • Content type: EditorialNotes
   • Published: 09 November 2021

   • Pages: 2787 - 2789

6. Global optimization of objective functions represented by ReLU networks

   Authors (first, second and last of 7)

   • Christopher A. Strong
   • Haoze Wu
   • Mykel J. Kochenderfer

   • Content type: OriginalPaper
   • Published: 20 October 2021

   • Pages: 3685 - 3712

   

7. Generating probabilistic safety guarantees for neural network controllers

   Authors (first, second and last of 4)

   • Sydney M. Katz
   • Kyle D. Julian
   • Mykel J. Kochenderfer

   • Content type: OriginalPaper
   • Published: 19 October 2021

   • Pages: 2903 - 2931

   

8. Diametrical Risk Minimization: theory and computations

   Authors

   • Matthew D. Norton
   • Johannes O. Royset

   • Content type: OriginalPaper
   • Published: 02 September 2021

   • Pages: 2933 - 2951

   

9. Byzantine-robust distributed sparse learning for M-estimation

   Authors

   • Jiyuan Tu
   • Weidong Liu
   • Xiaojun Mao

   • Content type: OriginalPaper
   • Published: 26 July 2021

   • Pages: 3773 - 3804

   

10. Unified SVM algorithm based on LS-DC loss

    Authors

    • Shuisheng Zhou
    • Wendi Zhou

    • Content type: OriginalPaper
    • Published: 21 July 2021

    • Pages: 2975 - 3002

    

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

    Authors

    • Igor Buzhinsky
    • Arseny Nerinovsky
    • Stavros Tripakis

    • Content type: OriginalPaper
    • Published: 06 July 2021

    • Pages: 3977 - 4012

    

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

    Authors

    • Felix Berkenkamp
    • Andreas Krause
    • Angela P. Schoellig

    • Content type: OriginalPaper
    • Open Access
    • Published: 24 June 2021

    • Pages: 3713 - 3747