PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards

24 August 2020

Papers citing "PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards"

7 / 7 papers shown

Title
Modeling Tabular data using Conditional GAN Lei Xu Maria Skoularidou Alfredo Cuesta-Infante K. Veeramachaneni CML MU SyDa GAN 68 1,232 0 01 Jul 2019
Detecting Overfitting via Adversarial Examples Roman Werpachowski András Gyorgy Csaba Szepesvári TDI 41 45 0 06 Mar 2019
GAIN: Missing Data Imputation using Generative Adversarial Nets Jinsung Yoon James Jordon M. Schaar GAN 26 1,001 0 07 Jun 2018
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives Amit Dhurandhar Pin-Yu Chen Ronny Luss Chun-Chen Tu Pai-Shun Ting Karthikeyan Shanmugam Payel Das FAtt 80 587 0 21 Feb 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 43 2,332 0 01 Nov 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 88 1,851 0 20 May 2017
The Mythos of Model Interpretability Zachary Chase Lipton FaML 76 3,672 0 10 Jun 2016