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Ramchandran Muthukumar

2 accepted papers

2025

Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality

CVPR 2025poster

State-of-the-art machine learning systems are vulnerable to small perturbations to their input, where _small_ is defined according to a threat model that assigns a positive threat to each perturbation. Most prior works define a task-agnostic, isotropic, and global threat, like the l_p norm, where th…

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2020

Adversarial Robustness of Supervised Sparse Coding

NeurIPS 2020poster

Several recent results provide theoretical insights into the phenomena of adversarial examples. Existing results, however, are often limited due to a gap between the simplicity of the models studied and the complexity of those deployed in practice. In this work, we strike a better balance by conside…