Certifying Robustness to Programmable Data Bias in Decision Trees

8 October 2021

Papers citing "Certifying Robustness to Programmable Data Bias in Decision Trees"

17 / 17 papers shown

Title
Timber! Poisoning Decision Trees Stefano Calzavara Lorenzo Cazzaro Massimo Vettori AAML 25 0 0 01 Oct 2024
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch Mahalakshmi Sabanayagam D. Ghoshdastidar Stephan Günnemann AAML 23 3 0 15 Jul 2024
A Note on Bias to Complete Jia Xu Mona Diab 39 1 0 18 Feb 2024
Verification of Neural Networks Local Differential Classification Privacy Roie Reshef Anan Kabaha Olga Seleznova Dana Drachsler-Cohen AAML 14 0 0 31 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 22 13 0 29 Sep 2023
Monitoring Algorithmic Fairness under Partial Observations T. Henzinger Konstantin Kueffner Kaushik Mallik MLAU 17 2 0 01 Aug 2023
Systematic Testing of the Data-Poisoning Robustness of KNN Yannan Li Jingbo Wang Chao Wang AAML OOD 19 6 0 17 Jul 2023
Certifying the Fairness of KNN in the Presence of Dataset Bias Yann-Liang Li Jingbo Wang Chao Wang FaML 22 4 0 17 Jul 2023
Monitoring Algorithmic Fairness T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik FaML 6 6 0 25 May 2023
The Dataset Multiplicity Problem: How Unreliable Data Impacts Predictions Anna P. Meyer Aws Albarghouthi Loris Dántoni 20 13 0 20 Apr 2023
PECAN: A Deterministic Certified Defense Against Backdoor Attacks Yuhao Zhang Aws Albarghouthi Loris Dántoni AAML 12 4 0 27 Jan 2023
Consistent Range Approximation for Fair Predictive Modeling Jiongli Zhu Sainyam Galhotra Nazanin Sabri Babak Salimi 17 10 0 21 Dec 2022
FARE: Provably Fair Representation Learning with Practical Certificates Nikola Jovanović Mislav Balunović Dimitar I. Dimitrov Martin Vechev 38 10 0 13 Oct 2022
Certifying Data-Bias Robustness in Linear Regression Anna P. Meyer Aws Albarghouthi Loris Dántoni 19 3 0 07 Jun 2022
BagFlip: A Certified Defense against Data Poisoning Yuhao Zhang Aws Albarghouthi Loris Dántoni AAML 15 23 0 26 May 2022
Introduction to Neural Network Verification Aws Albarghouthi AAML 53 85 0 21 Sep 2021
Proving Data-Poisoning Robustness in Decision Trees Samuel Drews Aws Albarghouthi Loris Dántoni 26 0 0 02 Dec 2019