Efficient Training of Robust Decision Trees Against Adversarial Examples

18 December 2020

Papers citing "Efficient Training of Robust Decision Trees Against Adversarial Examples"

19 / 19 papers shown

Title
Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations Ahod Alghuried Ali Alkinoon Abdulaziz Alghamdi Soohyeon Choi Manar Mohaisen David A. Mohaisen AAML 67 0 0 24 Apr 2025
Cultivating Archipelago of Forests: Evolving Robust Decision Trees through Island Coevolution A. Żychowski Andrew Perrault Jacek Mańdziuk 95 0 0 18 Dec 2024
Learning Decision Trees and Forests with Algorithmic Recourse Kentaro Kanamori Takuya Takagi Ken Kobayashi Yuichi Ike 82 3 0 03 Jun 2024
Verifiable Boosted Tree Ensembles Stefano Calzavara Lorenzo Cazzaro Claudio Lucchese Giulio Ermanno Pibiri AAML 73 0 0 22 Feb 2024
Faster Repeated Evasion Attacks in Tree Ensembles Lorenzo Cascioli Laurens Devos Ondvrej Kuvzelka Jesse Davis AAML 50 0 0 13 Feb 2024
Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret A. Żychowski Andrew Perrault Jacek Mańdziuk AAML 82 1 0 14 Dec 2023
Learning Optimal Classification Trees Robust to Distribution Shifts Nathan Justin S. Aghaei Andrés Gómez P. Vayanos OOD 197 0 0 26 Oct 2023
Prediction without Preclusion: Recourse Verification with Reachable Sets Avni Kothari B. Kulynych Tsui-Wei Weng Berk Ustun FaML 75 6 0 24 Aug 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection João Vitorino Isabel Praça Eva Maia AAML 56 26 0 13 Aug 2023
Verifiable Learning for Robust Tree Ensembles Stefano Calzavara Lorenzo Cazzaro Giulio Ermanno Pibiri N. Prezza AAML 63 3 0 05 May 2023
Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification João Vitorino Isabel Praça Eva Maia AAML 88 28 0 30 Jan 2023
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 126 40 0 24 Oct 2022
Adversarial Robustness for Tabular Data through Cost and Utility Awareness Klim Kireev B. Kulynych Carmela Troncoso AAML 83 18 0 27 Aug 2022
SoK: Explainable Machine Learning for Computer Security Applications A. Nadeem D. Vos Clinton Cao Luca Pajola Simon Dieck Robert Baumgartner S. Verwer 136 42 0 22 Aug 2022
Adversarial Example Detection in Deployed Tree Ensembles Laurens Devos Wannes Meert Jesse Davis AAML 44 1 0 27 Jun 2022
(De-)Randomized Smoothing for Decision Stump Ensembles Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev 82 4 0 27 May 2022
Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection João Vitorino Nuno Oliveira Isabel Praça AAML 51 29 0 08 Mar 2022
Beyond Robustness: Resilience Verification of Tree-Based Classifiers Stefano Calzavara Lorenzo Cazzaro Claudio Lucchese Federico Marcuzzi S. Orlando AAML 66 9 0 05 Dec 2021
Robust Optimal Classification Trees Against Adversarial Examples D. Vos S. Verwer AAML 37 21 0 08 Sep 2021