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most citedA Unified Framework for Adversarial Attack and Defense in Constrained Feature Space

1 citations · 3 across the 8 of their papers we have counts for

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cs.LG2023

Constrained Adaptive Attacks: Realistic Evaluation of Adversarial Examples and Robust Training of Deep Neural Networks for Tabular Data

Thibault Simonetto, Salah Ghamizi, Antoine Desjardins +2

State-of-the-art deep learning models for tabular data have recently achieved acceptable performance to be deployed in industrial settings. However, the robustness of these models…