TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases

14 August 2024

Papers citing "TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases"

4 / 4 papers shown

Title
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data Thibault Simonetto Salah Ghamizi Maxime Cordy AAML OOD 33 2 0 02 Jun 2024
Towards Benchmark Datasets for Machine Learning Based Website Phishing Detection: An experimental study Abdelhakim Hannousse Salima Yahiouche 32 65 0 24 Oct 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 217 674 0 19 Oct 2020
Data Synthesis based on Generative Adversarial Networks Noseong Park Mahmoud Mohammadi Kshitij Gorde S. Jajodia Hongkyu Park Youngmin Kim 111 464 0 09 Jun 2018