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Identifying Model Weakness with Adversarial Examiner

Identifying Model Weakness with Adversarial Examiner

25 November 2019
Michelle Shu
Chenxi Liu
Weichao Qiu
Alan Yuille
    AAML
    ELM
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Papers citing "Identifying Model Weakness with Adversarial Examiner"

12 / 12 papers shown
Title
A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View Detection
A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View Detection
Fu Lee Wang
Yanghao Zhang
Xiangyu Yin
Guangliang Cheng
Zeyu Fu
Xiaowei Huang
Wenjie Ruan
AAML
96
0
0
18 Dec 2024
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in
  Human Pose and Shape Estimation
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation
Qihao Liu
Adam Kortylewski
Alan Yuille
OODD
46
12
0
13 Mar 2023
Dataset Interfaces: Diagnosing Model Failures Using Controllable
  Counterfactual Generation
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
Joshua Vendrow
Saachi Jain
Logan Engstrom
A. Madry
OOD
32
34
0
15 Feb 2023
Human Body Measurement Estimation with Adversarial Augmentation
Human Body Measurement Estimation with Adversarial Augmentation
Nataniel Ruiz
Míriam Bellver
Timo Bolkart
Ambuj Arora
Ming-Chia Lin
Javier Romero
Raj Bala
3DH
39
3
0
11 Oct 2022
Challenges for machine learning in clinical translation of big data
  imaging studies
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale
Emma Bluemke
V. Sundaresan
M. Jenkinson
Stephen Smith
Ana I. L. Namburete
AI4CE
45
41
0
07 Jul 2021
3DB: A Framework for Debugging Computer Vision Models
3DB: A Framework for Debugging Computer Vision Models
Guillaume Leclerc
Hadi Salman
Andrew Ilyas
Sai H. Vemprala
Logan Engstrom
...
Pengchuan Zhang
Shibani Santurkar
Greg Yang
Ashish Kapoor
A. Madry
40
40
0
07 Jun 2021
Learning by Passing Tests, with Application to Neural Architecture
  Search
Learning by Passing Tests, with Application to Neural Architecture Search
Xuefeng Du
Haochen Zhang
P. Xie
18
4
0
30 Nov 2020
PatchAttack: A Black-box Texture-based Attack with Reinforcement
  Learning
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning
Chenglin Yang
Adam Kortylewski
Cihang Xie
Yinzhi Cao
Alan Yuille
AAML
39
108
0
12 Apr 2020
Constructing Unrestricted Adversarial Examples with Generative Models
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GAN
AAML
185
302
0
21 May 2018
Deep Nets: What have they ever done for Vision?
Deep Nets: What have they ever done for Vision?
Alan Yuille
Chenxi Liu
25
100
0
10 May 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,330
0
05 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,842
0
08 Jul 2016
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