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Gradient-Based Adversarial and Out-of-Distribution Detection

Gradient-Based Adversarial and Out-of-Distribution Detection

16 June 2022
Jinsol Lee
M. Prabhushankar
Ghassan AlRegib
    UQCV
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Papers citing "Gradient-Based Adversarial and Out-of-Distribution Detection"

14 / 14 papers shown
Title
Revisiting Gradient-based Uncertainty for Monocular Depth Estimation
Julia Hornauer
Amir El-Ghoussani
Vasileios Belagiannis
UQCV
57
0
0
09 Feb 2025
A margin-based replacement for cross-entropy loss
A margin-based replacement for cross-entropy loss
Michael W. Spratling
Heiko H. Schütt
68
0
0
21 Jan 2025
AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial
  Anomaly Detection
AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection
Mykhailo Koshil
Tilman Wegener
Detlef Mentrup
Simone Frintrop
Christian Wilms
43
1
0
27 Aug 2024
Intelligent Multi-View Test Time Augmentation
Intelligent Multi-View Test Time Augmentation
Efe Ozturk
M. Prabhushankar
Ghassan AlRegib
29
3
0
12 Jun 2024
VOICE: Variance of Induced Contrastive Explanations to quantify
  Uncertainty in Neural Network Interpretability
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability
M. Prabhushankar
Ghassan AlRegib
FAtt
UQCV
29
2
0
01 Jun 2024
Counterfactual Gradients-based Quantification of Prediction Trust in
  Neural Networks
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks
M. Prabhushankar
Ghassan AlRegib
UQCV
29
0
0
22 May 2024
GROOD: Gradient-Aware Out-of-Distribution Detection
GROOD: Gradient-Aware Out-of-Distribution Detection
Mostafa ElAraby
Sabyasachi Sahoo
Y. Pequignot
Paul Novello
Liam Paull
13
0
0
22 Dec 2023
Low-Dimensional Gradient Helps Out-of-Distribution Detection
Low-Dimensional Gradient Helps Out-of-Distribution Detection
Yingwen Wu
Tao Li
Xinwen Cheng
Jie-jin Yang
Xiaolin Huang
OODD
49
3
0
26 Oct 2023
Probing the Purview of Neural Networks via Gradient Analysis
Probing the Purview of Neural Networks via Gradient Analysis
Jinsol Lee
Charles Lehman
M. Prabhushankar
Ghassan AlRegib
29
7
0
06 Apr 2023
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks
  applied to Out-of-Distribution Segmentation
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation
Kira Maag
Tobias Riedlinger
UQCV
32
7
0
13 Mar 2023
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection
Maxime Darrin
Guillaume Staerman
Eduardo Dadalto Camara Gomes
Jackie CK Cheung
Pablo Piantanida
Pierre Colombo
OODD
45
11
0
20 Feb 2023
R2-AD2: Detecting Anomalies by Analysing the Raw Gradient
R2-AD2: Detecting Anomalies by Analysing the Raw Gradient
Jan-Philipp Schulze
Philip Sperl
Ana Ruaductoiu
Carla Sagebiel
Konstantin Böttinger
11
2
0
21 Jun 2022
PLM: Partial Label Masking for Imbalanced Multi-label Classification
PLM: Partial Label Masking for Imbalanced Multi-label Classification
Kevin Duarte
Y. S. Rawat
M. Shah
31
15
0
22 May 2021
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,835
0
08 Jul 2016
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