Deceptive AI Explanations: Creation and Detection

Deceptive AI Explanations: Creation and Detection

21 January 2020

Johannes Schneider

Christian Meske

Michalis Vlachos

Papers citing "Deceptive AI Explanations: Creation and Detection"

7 / 7 papers shown

Title
Don't Lie to Me: Avoiding Malicious Explanations with STEALTH Lauren Alvarez Tim Menzies 21 2 0 25 Jan 2023
Foundation models in brief: A historical, socio-technical focus Johannes Schneider VLM 26 9 0 17 Dec 2022
Unfooling Perturbation-Based Post Hoc Explainers Zachariah Carmichael Walter J. Scheirer AAML 53 14 0 29 May 2022
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike Johannes Schneider Giovanni Apruzzese AAML 19 8 0 18 Mar 2022
Reflective-Net: Learning from Explanations Johannes Schneider Michalis Vlachos FAtt OffRL LRM 57 18 0 27 Nov 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014