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Towards Non-Adversarial Algorithmic Recourse

Towards Non-Adversarial Algorithmic Recourse

15 March 2024
Tobias Leemann
Martin Pawelczyk
Bardh Prenkaj
Gjergji Kasneci
    AAML
ArXivPDFHTML

Papers citing "Towards Non-Adversarial Algorithmic Recourse"

12 / 12 papers shown
Title
"Real Attackers Don't Compute Gradients": Bridging the Gap Between
  Adversarial ML Research and Practice
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice
Giovanni Apruzzese
Hyrum S. Anderson
Savino Dambra
D. Freeman
Fabio Pierazzi
Kevin A. Roundy
AAML
58
77
0
29 Dec 2022
Improvement-Focused Causal Recourse (ICR)
Improvement-Focused Causal Recourse (ICR)
Gunnar Konig
Timo Freiesleben
Moritz Grosse-Wentrup
CML
50
15
0
27 Oct 2022
Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient
  Algorithms
Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms
Miguel Á. Carreira-Perpiñán
Suryabhan Singh Hada
CML
AAML
20
35
0
01 Mar 2021
The Intriguing Relation Between Counterfactual Explanations and
  Adversarial Examples
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples
Timo Freiesleben
GAN
55
63
0
11 Sep 2020
Towards Realistic Individual Recourse and Actionable Explanations in
  Black-Box Decision Making Systems
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems
Shalmali Joshi
Oluwasanmi Koyejo
Warut D. Vijitbenjaronk
Been Kim
Joydeep Ghosh
FaML
47
186
0
22 Jul 2019
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual
  Explanations
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations
Thibault Laugel
Marie-Jeanne Lesot
Christophe Marsala
X. Renard
Marcin Detyniecki
33
195
0
22 Jul 2019
Disentangling Adversarial Robustness and Generalization
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
230
279
0
03 Dec 2018
Patch-Based Image Inpainting with Generative Adversarial Networks
Patch-Based Image Inpainting with Generative Adversarial Networks
Ugur Demir
Gözde B. Ünal
GAN
28
253
0
20 Mar 2018
Explanations based on the Missing: Towards Contrastive Explanations with
  Pertinent Negatives
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
89
587
0
21 Feb 2018
Counterfactual Explanations without Opening the Black Box: Automated
  Decisions and the GDPR
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
65
2,332
0
01 Nov 2017
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
108
2,520
0
26 Oct 2016
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
159
14,831
1
21 Dec 2013
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