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Shpresim Sadiku

2 accepted papers

2025

GSE: Group-wise Sparse and Explainable Adversarial Attacks

ICLR 2025poster

Sparse adversarial attacks fool deep neural networks (DNNs) through minimal pixel perturbations, often regularized by the $\ell_0$ norm. Recent efforts have replaced this norm with a structural sparsity regularizer, such as the nuclear group norm, to craft group-wise sparse adversarial attacks. The…

2025

S-CFE: Simple Counterfactual Explanations

AISTATS 2025poster

We study the problem of finding optimal sparse, manifold-aligned counterfactual explanations for classifiers. Canonically, this can be formulated as an optimization problem with multiple non-convex components, including classifier loss functions and manifold alignment (or _plausibility_) metrics. Th…

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