Robust Decision Trees Against Adversarial Examples

27 February 2019

Papers citing "Robust Decision Trees Against Adversarial Examples"

50 / 57 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 53 4 0 03 Jan 2025
Cultivating Archipelago of Forests: Evolving Robust Decision Trees through Island Coevolution A. Żychowski Andrew Perrault Jacek Mańdziuk 59 0 0 18 Dec 2024
Learning Decision Trees and Forests with Algorithmic Recourse Kentaro Kanamori Takuya Takagi Ken Kobayashi Yuichi Ike 48 3 0 03 Jun 2024
Output-Constrained Decision Trees cS. .Ilker Birbil Douganay Ozese Mustafa Baydougan 24 0 0 24 May 2024
Verifiable Boosted Tree Ensembles Stefano Calzavara Lorenzo Cazzaro Claudio Lucchese Giulio Ermanno Pibiri AAML 44 0 0 22 Feb 2024
Faster Repeated Evasion Attacks in Tree Ensembles Lorenzo Cascioli Laurens Devos Ondvrej Kuvzelka Jesse Davis AAML 11 0 0 13 Feb 2024
Robustness Verification for Knowledge-Based Logic of Risky Driving Scenes Xia Wang Anda Liang Jonathan Sprinkle Taylor T. Johnson 24 4 0 27 Dec 2023
Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret A. Żychowski Andrew Perrault Jacek Mańdziuk AAML 11 1 0 14 Dec 2023
Learning Optimal Classification Trees Robust to Distribution Shifts Nathan Justin S. Aghaei Andrés Gómez P. Vayanos OOD 40 0 0 26 Oct 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection João Vitorino Isabel Praça Eva Maia AAML 30 22 0 13 Aug 2023
Symmetry Defense Against XGBoost Adversarial Perturbation Attacks Blerta Lindqvist AAML 43 0 0 10 Aug 2023
Interpretable Differencing of Machine Learning Models Swagatam Haldar Diptikalyan Saha Dennis L. Wei Rahul Nair Elizabeth M. Daly 16 1 0 10 Jun 2023
Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings Klim Kireev Maksym Andriushchenko Carmela Troncoso Nicolas Flammarion OOD 35 1 0 06 Jun 2023
Verifiable Learning for Robust Tree Ensembles Stefano Calzavara Lorenzo Cazzaro Giulio Ermanno Pibiri N. Prezza AAML 23 3 0 05 May 2023
Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification João Vitorino Isabel Praça Eva Maia AAML 37 28 0 30 Jan 2023
Robust Boosting Forests with Richer Deep Feature Hierarchy Jianqiao Wangni 3DPC 33 0 0 29 Oct 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie-jin Yang 32 10 0 17 Oct 2022
Adversarial Robustness for Tabular Data through Cost and Utility Awareness Klim Kireev B. Kulynych Carmela Troncoso AAML 26 16 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 34 40 0 22 Aug 2022
Quantifying probabilistic robustness of tree-based classifiers against natural distortions Christoph Schweimer S. Scher 41 0 0 22 Aug 2022
Provably Adversarially Robust Nearest Prototype Classifiers Václav Voráček Matthias Hein AAML 20 11 0 14 Jul 2022
Threat Assessment in Machine Learning based Systems L. Tidjon Foutse Khomh 27 17 0 30 Jun 2022
Adversarial Example Detection in Deployed Tree Ensembles Laurens Devos Wannes Meert Jesse Davis AAML 15 1 0 27 Jun 2022
Integrity Authentication in Tree Models Weijie Zhao Yingjie Lao Ping Li 59 5 0 30 May 2022
(De-)Randomized Smoothing for Decision Stump Ensembles Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev 30 3 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 31 9 0 18 Mar 2022
Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection João Vitorino Nuno Oliveira Isabel Praça AAML 27 28 0 08 Mar 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 30 1 0 07 Feb 2022
Beyond Robustness: Resilience Verification of Tree-Based Classifiers Stefano Calzavara Lorenzo Cazzaro Claudio Lucchese Federico Marcuzzi S. Orlando AAML 43 9 0 05 Dec 2021
Certifying Robustness to Programmable Data Bias in Decision Trees Anna P. Meyer Aws Albarghouthi Loris Dántoni 27 21 0 08 Oct 2021
Robust Optimal Classification Trees Against Adversarial Examples D. Vos S. Verwer AAML 4 21 0 08 Sep 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 104 196 0 12 Jul 2021
A Review of Formal Methods applied to Machine Learning Caterina Urban Antoine Miné 39 55 0 06 Apr 2021
Individually Fair Gradient Boosting Alexander Vargo Fan Zhang Mikhail Yurochkin Yuekai Sun FaML FedML 24 15 0 31 Mar 2021
Connecting Interpretability and Robustness in Decision Trees through Separation Michal Moshkovitz Yao-Yuan Yang Kamalika Chaudhuri 33 22 0 14 Feb 2021
Fair Training of Decision Tree Classifiers Francesco Ranzato Caterina Urban Marco Zanella FaML 14 12 0 04 Jan 2021
Genetic Adversarial Training of Decision Trees Francesco Ranzato Marco Zanella 22 14 0 21 Dec 2020
Efficient Training of Robust Decision Trees Against Adversarial Examples D. Vos S. Verwer AAML 6 36 0 18 Dec 2020
Versatile Verification of Tree Ensembles Laurens Devos Wannes Meert Jesse Davis AAML 19 12 0 26 Oct 2020
An Efficient Adversarial Attack for Tree Ensembles Chong Zhang Huan Zhang Cho-Jui Hsieh AAML 8 23 0 22 Oct 2020
Embedding and Extraction of Knowledge in Tree Ensemble Classifiers Wei Huang Xingyu Zhao Xiaowei Huang AAML 9 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 15 7 0 20 Aug 2020
Certifying Decision Trees Against Evasion Attacks by Program Analysis Stefano Calzavara Pietro Ferrara Claudio Lucchese AAML 21 10 0 06 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey S. Silva Peyman Najafirad AAML OOD 28 131 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 17 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 35 12 0 11 May 2020
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack Ao Liu Beibei Li Tao Li Pan Zhou Rui Wang AAML 27 0 0 06 May 2020
Feature Partitioning for Robust Tree Ensembles and their Certification in Adversarial Scenarios Stefano Calzavara Claudio Lucchese Federico Marcuzzi S. Orlando AAML 14 9 0 07 Apr 2020
When are Non-Parametric Methods Robust? Robi Bhattacharjee Kamalika Chaudhuri AAML 42 28 0 13 Mar 2020
Cost-Aware Robust Tree Ensembles for Security Applications Yizheng Chen Shiqi Wang Weifan Jiang Asaf Cidon Suman Jana AAML OOD 14 5 0 03 Dec 2019