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Simple Post-Training Robustness Using Test Time Augmentations and Random
  Forest

Simple Post-Training Robustness Using Test Time Augmentations and Random Forest

16 September 2021
Gilad Cohen
Raja Giryes
    AAML
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Papers citing "Simple Post-Training Robustness Using Test Time Augmentations and Random Forest"

5 / 5 papers shown
Title
MOREL: Enhancing Adversarial Robustness through Multi-Objective
  Representation Learning
MOREL: Enhancing Adversarial Robustness through Multi-Objective Representation Learning
Sedjro Salomon Hotegni
Sebastian Peitz
AAML
16
2
0
02 Oct 2024
3VL: Using Trees to Improve Vision-Language Models' Interpretability
3VL: Using Trees to Improve Vision-Language Models' Interpretability
Nir Yellinek
Leonid Karlinsky
Raja Giryes
CoGe
VLM
49
4
0
28 Dec 2023
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve
  Adversarial Robustness
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness
Ahmadreza Jeddi
M. Shafiee
Michelle Karg
C. Scharfenberger
A. Wong
OOD
AAML
48
63
0
02 Mar 2020
Disentangling Adversarial Robustness and Generalization
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
183
271
0
03 Dec 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,102
0
04 Nov 2016
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