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Robust Decision Trees Against Adversarial Examples

27 February 2019

Papers citing "Robust Decision Trees Against Adversarial Examples"

35 / 35 papers shown

Title
Des-q: a quantum algorithm to provably speedup retraining of decision trees Niraj Kumar Romina Yalovetzky Changhao Li Pierre Minssen Marco Pistoia 106 4 0 03 Jan 2025
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
Interpretable Differencing of Machine Learning Models Swagatam Haldar Diptikalyan Saha Dennis L. Wei Rahul Nair Elizabeth M. Daly 61 1 0 10 Jun 2023
Verifiable Learning for Robust Tree Ensembles Stefano Calzavara Lorenzo Cazzaro Giulio Ermanno Pibiri N. Prezza AAML 73 3 0 05 May 2023
Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification João Vitorino Isabel Praça Eva Maia AAML 99 28 0 30 Jan 2023
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
Threat Assessment in Machine Learning based Systems L. Tidjon Foutse Khomh 54 17 0 30 Jun 2022
Adversarial Example Detection in Deployed Tree Ensembles Laurens Devos Wannes Meert Jesse Davis AAML 46 1 0 27 Jun 2022
Integrity Authentication in Tree Models Weijie Zhao Yingjie Lao Ping Li 137 5 0 30 May 2022
(De-)Randomized Smoothing for Decision Stump Ensembles Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev 82 4 0 27 May 2022
AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT Networks Arman Pashamokhtari Gustavo E. A. P. A. Batista Hassan Habibi Gharakheili AAML 68 9 0 18 Mar 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
Certifying Robustness to Programmable Data Bias in Decision Trees Anna P. Meyer Aws Albarghouthi Loris Dántoni 73 22 0 08 Oct 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 192 212 0 12 Jul 2021
A Review of Formal Methods applied to Machine Learning Caterina Urban Antoine Miné 91 57 0 06 Apr 2021
Connecting Interpretability and Robustness in Decision Trees through Separation Michal Moshkovitz Yao-Yuan Yang Kamalika Chaudhuri 76 23 0 14 Feb 2021
Fair Training of Decision Tree Classifiers Francesco Ranzato Caterina Urban Marco Zanella FaML 39 12 0 04 Jan 2021
Efficient Training of Robust Decision Trees Against Adversarial Examples D. Vos S. Verwer AAML 74 36 0 18 Dec 2020
Embedding and Extraction of Knowledge in Tree Ensemble Classifiers Wei Huang Xingyu Zhao Xiaowei Huang AAML 59 11 0 16 Oct 2020
$On $\ell_p$-norm Robustness of Ensemble Stumps and Trees$ On $\ell_p$ -norm Robustness of Ensemble Stumps and Trees Yihan Wang Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh AAML 42 7 0 20 Aug 2020
Certifying Decision Trees Against Evasion Attacks by Program Analysis Stefano Calzavara Pietro Ferrara Claudio Lucchese AAML 60 10 0 06 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey S. Silva Peyman Najafirad AAML OOD 99 135 0 01 Jul 2020
Evaluations and Methods for Explanation through Robustness Analysis Cheng-Yu Hsieh Chih-Kuan Yeh Xuanqing Liu Pradeep Ravikumar Seungyeon Kim Sanjiv Kumar Cho-Jui Hsieh XAI 70 58 0 31 May 2020
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data Lu Wang Huan Zhang Jinfeng Yi Cho-Jui Hsieh Yuan Jiang AAML 82 12 0 11 May 2020
Feature Partitioning for Robust Tree Ensembles and their Certification in Adversarial Scenarios Stefano Calzavara Claudio Lucchese Federico Marcuzzi S. Orlando AAML 37 9 0 07 Apr 2020
When are Non-Parametric Methods Robust? Robi Bhattacharjee Kamalika Chaudhuri AAML 89 27 0 13 Mar 2020
Walling up Backdoors in Intrusion Detection Systems Maximilian Bachl Alexander Hartl J. Fabini Tanja Zseby AAML 49 15 0 17 Sep 2019
Treant: Training Evasion-Aware Decision Trees Stefano Calzavara Claudio Lucchese Gabriele Tolomei S. Abebe S. Orlando AAML 75 41 0 02 Jul 2019
Robustness Verification of Tree-based Models Hongge Chen Huan Zhang Si Si Yang Li Duane S. Boning Cho-Jui Hsieh AAML 103 77 0 10 Jun 2019
Robustness for Non-Parametric Classification: A Generic Attack and Defense Yao-Yuan Yang Cyrus Rashtchian Yizhen Wang Kamalika Chaudhuri SILM AAML 92 43 0 07 Jun 2019
On Training Robust PDF Malware Classifiers Yizheng Chen Shiqi Wang Dongdong She Suman Jana AAML 99 69 0 06 Apr 2019