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2003.09711
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Robust Out-of-distribution Detection for Neural Networks
21 March 2020
Jiefeng Chen
Shouqing Yang
Xi Wu
Yingyu Liang
S. Jha
OODD
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Papers citing
"Robust Out-of-distribution Detection for Neural Networks"
50 / 51 papers shown
Sharpness-Aware Geometric Defense for Robust Out-Of-Distribution Detection
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Ming-Ching Chang
Wei-Chao Chen
161
0
0
24 Aug 2025
PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo Anomalies
Computer Vision and Pattern Recognition (CVPR), 2025
Mojtaba Nafez
Amirhossein Koochakian
Arad Maleki
Jafar Habibi
M. Rohban
AAML
299
2
0
10 Jun 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation
Hugo Lyons Keenan
S. Erfani
Christopher Leckie
OODD
550
1
0
27 Feb 2025
Scanning Trojaned Models Using Out-of-Distribution Samples
Hossein Mirzaei
Ali Ansari
Bahar Dibaei Nia
Mojtaba Nafez
Moein Madadi
...
Kian Shamsaie
Mahdi Hajialilue
Jafar Habibi
Mohammad Sabokrou
M. Rohban
OODD
383
5
0
28 Jan 2025
Familiarity-Based Open-Set Recognition Under Adversarial Attacks
Philip Enevoldsen
Christian Gundersen
Nico Lang
Serge Belongie
Christian Igel
416
2
0
03 Jan 2025
Process Reward Model with Q-Value Rankings
International Conference on Learning Representations (ICLR), 2024
W. Li
Yixuan Li
LRM
631
65
0
15 Oct 2024
Data Taggants: Dataset Ownership Verification via Harmless Targeted Data Poisoning
International Conference on Learning Representations (ICLR), 2024
Wassim Bouaziz
El-Mahdi El-Mhamdi
Nicolas Usunier
TDI
AAML
261
8
0
09 Oct 2024
Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness
Stanislav Fort
Balaji Lakshminarayanan
OOD
AAML
175
16
0
08 Aug 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
633
1
0
21 Jun 2024
Robust Image Classification in the Presence of Out-of-Distribution and Adversarial Samples Using Attractors in Neural Networks
N. Alipour
Seyyed Ali SeyyedSalehi
176
1
0
15 Jun 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey
Naveen Karunanayake
Ravin Gunawardena
Suranga Seneviratne
Sanjay Chawla
OOD
310
14
0
08 Apr 2024
On the Learnability of Out-of-distribution Detection
Zhen Fang
Shouqing Yang
Yifan Zhang
Bo Han
Jie Lu
224
9
0
07 Apr 2024
ARGS: Alignment as Reward-Guided Search
International Conference on Learning Representations (ICLR), 2024
Maxim Khanov
Jirayu Burapacheep
Yixuan Li
456
95
0
23 Jan 2024
Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects
Boyang Yu
Aakash Kaku
Kangning Liu
A. Parnandi
Emily E Fokas
Anita Venkatesan
Natasha Pandit
Rajesh Ranganath
Heidi M. Schambra
C. Fernandez‐Granda
224
3
0
21 Nov 2023
Adversarial Attacks on Foundational Vision Models
Nathan Inkawhich
Gwendolyn McDonald
R. Luley
VLM
235
14
0
28 Aug 2023
SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised Contrastive Learning and Euclidean Distance
J. Haas
OODD
128
0
0
21 Aug 2023
Quantile-based Maximum Likelihood Training for Outlier Detection
AAAI Conference on Artificial Intelligence (AAAI), 2023
Masoud Taghikhah
Nishant Kumar
Sinisa Segvic
Abouzar Eslami
Stefan Gumhold
348
5
0
20 Aug 2023
Multi-attacks: Many images
+
+
+
the same adversarial attack
→
\to
→
many target labels
Stanislav Fort
AAML
134
2
0
04 Aug 2023
Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization
J. Haas
William Yolland
B. Rabus
OODD
349
2
0
07 Jun 2023
Incremental Verification of Neural Networks
Shubham Ugare
Debangshu Banerjee
Sasa Misailovic
Gagandeep Singh
242
21
0
04 Apr 2023
Background Matters: Enhancing Out-of-distribution Detection with Domain Features
ACM Multimedia (ACM MM), 2023
Choubo Ding
Guansong Pang
Chunhua Shen
OODD
97
0
0
15 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection
Tim Kaiser
Félix D. P. Michels
Nikolas Adaloglou
M. Kollmann
VLM
242
0
0
10 Mar 2023
Provably Bounding Neural Network Preimages
Neural Information Processing Systems (NeurIPS), 2023
Suhas Kotha
Christopher Brix
Zico Kolter
Krishnamurthy Dvijotham
Huan Zhang
AAML
489
23
0
02 Feb 2023
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
AAAI Conference on Artificial Intelligence (AAAI), 2022
Maohao Shen
Yuheng Bu
P. Sattigeri
S. Ghosh
Subhro Das
G. Wornell
UQCV
OOD
BDL
189
44
0
14 Dec 2022
Is Out-of-Distribution Detection Learnable?
Neural Information Processing Systems (NeurIPS), 2022
Zhen Fang
Shouqing Yang
Jie Lu
Jiahua Dong
Bo Han
Yifan Zhang
OODD
386
165
0
26 Oct 2022
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Sina Baharlouei
Fatemeh Sheikholeslami
Meisam Razaviyayn
Zico Kolter
AAML
201
6
0
26 Oct 2022
Your Out-of-Distribution Detection Method is Not Robust!
Neural Information Processing Systems (NeurIPS), 2022
Mohammad Azizmalayeri
Arshia Soltani Moakhar
Arman Zarei
Reihaneh Zohrabi
M. T. Manzuri
M. Rohban
OODD
310
23
0
30 Sep 2022
Introspective Learning : A Two-Stage Approach for Inference in Neural Networks
Neural Information Processing Systems (NeurIPS), 2022
Mohit Prabhushankar
Ghassan AlRegib
291
22
0
17 Sep 2022
Linking Neural Collapse and L2 Normalization with Improved Out-of-Distribution Detection in Deep Neural Networks
J. Haas
William Yolland
B. Rabus
OODD
293
23
0
17 Sep 2022
Interpretable Distribution Shift Detection using Optimal Transport
Neha Hulkund
Nicolò Fusi
Jennifer Wortman Vaughan
David Alvarez-Melis
OT
165
2
0
04 Aug 2022
Back to the Basics: Revisiting Out-of-Distribution Detection Baselines
Jo-Lan Kuan
Jonas W. Mueller
OODD
157
31
0
07 Jul 2022
Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space
Tomoharu Iwata
Atsutoshi Kumagai
OODD
148
2
0
20 Jun 2022
Exploring the Advantages of Dense-Vector to One-Hot Encoding of Intent Classes in Out-of-Scope Detection Tasks
Claudio S. Pinhanez
Paulo Cavalin
134
2
0
18 May 2022
Failure Prediction with Statistical Guarantees for Vision-Based Robot Control
Alec Farid
David Snyder
Allen Z. Ren
Anirudha Majumdar
263
22
0
11 Feb 2022
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series
Sercan O. Arik
Nathanael Yoder
Tomas Pfister
TTA
AI4TS
284
29
0
04 Feb 2022
Adversarial vulnerability of powerful near out-of-distribution detection
Stanislav Fort
OODD
135
18
0
18 Jan 2022
Generalized Out-of-Distribution Detection: A Survey
International Journal of Computer Vision (IJCV), 2021
Jingkang Yang
Kaiyang Zhou
Shouqing Yang
Ziwei Liu
772
1,223
0
21 Oct 2021
Out-of-Distribution Detection Using Outlier Detection Methods
Jan Diers
Christian Pigorsch
OODD
207
3
0
18 Aug 2021
Ranking labs-of-origin for genetically engineered DNA using Metric Learning
I. M. Soares
Fernando H. F. Camargo
Adriano Marques
67
0
0
16 Jul 2021
Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis
Anisie Uwimana
Ransalu Senanayake
OOD
MedIm
179
22
0
10 Jul 2021
Task-Driven Detection of Distribution Shifts with Statistical Guarantees for Robot Learning
IEEE Transactions on robotics (TRO), 2021
Alec Farid
Sushant Veer
Divya Pachisia
Anirudha Majumdar
OODD
273
3
0
25 Jun 2021
Towards Consistent Predictive Confidence through Fitted Ensembles
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Navid Kardan
Ankit Sharma
Kenneth O. Stanley
FedML
OODD
150
8
0
22 Jun 2021
Repulsive Deep Ensembles are Bayesian
Neural Information Processing Systems (NeurIPS), 2021
Francesco DÁngelo
Vincent Fortuin
UQCV
BDL
447
117
0
22 Jun 2021
On Stein Variational Neural Network Ensembles
Francesco DÁngelo
Vincent Fortuin
F. Wenzel
UQCV
BDL
235
31
0
20 Jun 2021
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions
Xuefeng Du
Tian Bian
Yu Rong
Bo Han
Tongliang Liu
Qifeng Bai
Wenbing Huang
Shouqing Yang
Junzhou Huang
NoLa
240
22
0
14 Jun 2021
InFlow: Robust outlier detection utilizing Normalizing Flows
Nishant Kumar
Pia Hanfeld
Michael Hecht
Michael Bussmann
Stefan Gumhold
Nico Hoffmann
OODD
OOD
TPM
192
5
0
10 Jun 2021
Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders
Felix Möller
Diego Botache
Denis Huseljic
Florian Heidecker
Maarten Bieshaar
Bernhard Sick
OODD
305
27
0
04 May 2021
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems
AAAI Conference on Artificial Intelligence (AAAI), 2021
Shohei Enomoto
Takeharu Eda
UQCV
174
23
0
15 Apr 2021
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Leo Schwinn
A. Nguyen
René Raab
Leon Bungert
Daniel Tenbrinck
Dario Zanca
Martin Burger
Bjoern M. Eskofier
AAML
135
18
0
24 Feb 2021
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings
John Mitros
A. Pakrashi
Brian Mac Namee
UQCV
334
2
0
03 Sep 2020
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