Empirical Perturbation Analysis of Linear System Solvers from a Data
Poisoning Perspective
Empirical Perturbation Analysis of Linear System Solvers from a Data
Poisoning Perspective
The perturbation analysis of linear solvers applied to systems arising broadly in machine learning settings -- for instance, when using linear regression models -- establishes an important perspective when reframing these analyses through the lens of a data poisoning attack. By analyzing solvers' responses to such attacks, this work aims …