Adversarial Robustness for Tabular Data through Cost and Utility Awareness

27 August 2022

Papers citing "Adversarial Robustness for Tabular Data through Cost and Utility Awareness"

8 / 8 papers shown

Title
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers Matan Ben-Tov Daniel Deutch Nave Frost Mahmood Sharif AAML 107 0 0 20 Jan 2025
TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases Thibault Simonetto Salah Ghamizi Maxime Cordy AAML OOD ELM 40 0 0 14 Aug 2024
Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis Zhipeng He Chun Ouyang Laith Alzubaidi Alistair Barros Catarina Moreira AAML 23 0 0 16 Jul 2024
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data Thibault Simonetto Salah Ghamizi Maxime Cordy AAML OOD 36 2 0 02 Jun 2024
Prediction without Preclusion: Recourse Verification with Reachable Sets Avni Kothari B. Kulynych Tsui-Wei Weng Berk Ustun FaML 33 4 0 24 Aug 2023
Discretization-based ensemble model for robust learning in IoT Anahita Namvar Chandra Thapa S. Kanhere AAML OOD 16 1 0 18 Jul 2023
Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings Klim Kireev Maksym Andriushchenko Carmela Troncoso Nicolas Flammarion OOD 27 1 0 06 Jun 2023
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data F. Cartella Orlando Anunciação Yuki Funabiki D. Yamaguchi Toru Akishita Olivier Elshocht AAML 58 71 0 20 Jan 2021