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Machine Learning Robustness: A Primer

Machine Learning Robustness: A Primer

1 April 2024
Houssem Ben Braiek
Foutse Khomh
    AAML
    OOD
ArXivPDFHTML

Papers citing "Machine Learning Robustness: A Primer"

16 / 16 papers shown
Title
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know
Shireen Kudukkil Manchingal
Fabio Cuzzolin
42
0
0
08 May 2025
Towards Assessing Deep Learning Test Input Generators
Towards Assessing Deep Learning Test Input Generators
Seif Mzoughi
Ahmed Hajyahmed
Mohamed Elshafei
Foutse Khomh anb Diego Elias Costa
D. Costa
AAML
35
0
0
03 Apr 2025
Atlas: A Framework for ML Lifecycle Provenance & Transparency
Atlas: A Framework for ML Lifecycle Provenance & Transparency
Marcin Spoczynski
Marcela S. Melara
S.
57
1
0
26 Feb 2025
FlyAI -- The Next Level of Artificial Intelligence is Unpredictable!
  Injecting Responses of a Living Fly into Decision Making
FlyAI -- The Next Level of Artificial Intelligence is Unpredictable! Injecting Responses of a Living Fly into Decision Making
Denys J. C. Matthies
Ruben Schlonsak
Hanzhi Zhuang
Rui Song
21
0
0
30 Sep 2024
Pruning Adversarially Robust Neural Networks without Adversarial
  Examples
Pruning Adversarially Robust Neural Networks without Adversarial Examples
T. Jian
Zifeng Wang
Yanzhi Wang
Jennifer Dy
Stratis Ioannidis
AAML
VLM
36
11
0
09 Oct 2022
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
870
0
21 Oct 2021
Sound and Complete Neural Network Repair with Minimality and Locality
  Guarantees
Sound and Complete Neural Network Repair with Minimality and Locality Guarantees
Feisi Fu
Wenchao Li
KELM
AAML
30
26
0
14 Oct 2021
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
117
354
0
04 Oct 2021
Discovering and Validating AI Errors With Crowdsourced Failure Reports
Discovering and Validating AI Errors With Crowdsourced Failure Reports
Ángel Alexander Cabrera
Abraham J. Druck
Jason I. Hong
Adam Perer
HAI
40
54
0
23 Sep 2021
Meta Gradient Adversarial Attack
Meta Gradient Adversarial Attack
Zheng Yuan
Jie M. Zhang
Yunpei Jia
Chuanqi Tan
Tao Xue
Shiguang Shan
AAML
47
78
0
09 Aug 2021
Trustworthy AI: A Computational Perspective
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Jiliang Tang
FaML
96
195
0
12 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
292
5,761
0
29 Apr 2021
Dual Attention Suppression Attack: Generate Adversarial Camouflage in
  Physical World
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
Jiakai Wang
Aishan Liu
Zixin Yin
Shunchang Liu
Shiyu Tang
Xianglong Liu
AAML
133
194
0
01 Mar 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,108
0
04 Nov 2016
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,214
0
09 Jun 2011
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