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1412.1897
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Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Computer Vision and Pattern Recognition (CVPR), 2014
5 December 2014
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
Re-assign community
ArXiv (abs)
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Papers citing
"Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images"
50 / 1,455 papers shown
Problem-dependent attention and effort in neural networks with applications to image resolution and model selection
Image and Vision Computing (IVC), 2022
Chris Rohlfs
515
5
0
05 Jan 2022
Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness
Hieu M. Le
Hans Walker
Dung T. Tran
Peter Chin
52
0
0
05 Jan 2022
On Sensitivity of Deep Learning Based Text Classification Algorithms to Practical Input Perturbations
Aamir Miyajiwala
Arnav Ladkat
Samiksha Jagadale
Raviraj Joshi
AAML
284
7
0
02 Jan 2022
Understanding and Measuring Robustness of Multimodal Learning
Nishant Vishwamitra
Hongxin Hu
Ziming Zhao
Long Cheng
Feng Luo
AAML
194
7
0
22 Dec 2021
Out-of-distribution Detection with Boundary Aware Learning
European Conference on Computer Vision (ECCV), 2021
Sen Pei
Xin Zhang
Bin Fan
Gaofeng Meng
OODD
162
12
0
22 Dec 2021
Learning Positional Embeddings for Coordinate-MLPs
AAAI Conference on Artificial Intelligence (AAAI), 2021
Sameera Ramasinghe
Simon Lucey
216
11
0
21 Dec 2021
Provable Adversarial Robustness in the Quantum Model
Khashayar Barooti
Grzegorz Gluch
R. Urbanke
AAML
OOD
120
1
0
17 Dec 2021
Interference Suppression Using Deep Learning: Current Approaches and Open Challenges
T. Oyedare
Vijay K. Shah
D. Jakubisin
Jeffrey H. Reed
169
63
0
16 Dec 2021
Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning
Tong Chen
Zhan Ma
AAML
255
40
0
16 Dec 2021
Real-Time Neural Voice Camouflage
Mia Chiquier
Chengzhi Mao
Carl Vondrick
195
8
0
14 Dec 2021
Stereoscopic Universal Perturbations across Different Architectures and Datasets
Z. Berger
Parth T. Agrawal
Tianlin Liu
Stefano Soatto
A. Wong
AAML
301
24
0
12 Dec 2021
Amicable Aid: Perturbing Images to Improve Classification Performance
Juyeop Kim
Jun-Ho Choi
Soobeom Jang
Jong-Seok Lee
AAML
384
2
0
09 Dec 2021
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
Ching-Yun Ko
Jeet Mohapatra
Sijia Liu
Pin-Yu Chen
Lucani E. Daniel
Lily Weng
SSL
216
15
0
08 Dec 2021
DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification
Hai T. Phan
Anh Totti Nguyen
CVBM
252
27
0
07 Dec 2021
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal
Neural Information Processing Systems (NeurIPS), 2021
Yucheng Shi
Yahong Han
Yu-an Tan
Xiaohui Kuang
353
36
0
07 Dec 2021
The Box Size Confidence Bias Harms Your Object Detector
Johannes Gilg
Torben Teepe
Fabian Herzog
Gerhard Rigoll
ObjD
195
6
0
03 Dec 2021
Provable Guarantees for Understanding Out-of-distribution Detection
Peyman Morteza
Shouqing Yang
OODD
216
102
0
01 Dec 2021
Do Invariances in Deep Neural Networks Align with Human Perception?
Vedant Nanda
Ayan Majumdar
Camila Kolling
John P. Dickerson
Krishna P. Gummadi
Bradley C. Love
Adrian Weller
AAML
215
6
0
29 Nov 2021
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data
Guansong Lu
Yueh-Cheng Liu
Tung-I Chen
Hung-Ting Su
Tsung-Han Wu
Winston H. Hsu
UQCV
216
0
0
29 Nov 2021
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features
Journal of machine learning research (JMLR), 2021
Lars Henry Berge Olsen
I. Glad
Martin Jullum
K. Aas
TDI
FAtt
227
20
0
26 Nov 2021
ReAct: Out-of-distribution Detection With Rectified Activations
Yiyou Sun
Chuan Guo
Shouqing Yang
OODD
476
579
0
24 Nov 2021
Thundernna: a white box adversarial attack
Linfeng Ye
Shayan Mohajer Hamidi
AAML
255
7
0
24 Nov 2021
DICE: Leveraging Sparsification for Out-of-Distribution Detection
Yiyou Sun
Shouqing Yang
OODD
374
201
0
18 Nov 2021
To Trust or Not To Trust Prediction Scores for Membership Inference Attacks
Dominik Hintersdorf
Lukas Struppek
Kristian Kersting
160
17
0
17 Nov 2021
Tracklet-Switch Adversarial Attack against Pedestrian Multi-Object Tracking Trackers
Delv Lin
Qi Chen
Chengyu Zhou
Kun He
VOT
AAML
197
1
0
17 Nov 2021
Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks
Adaku Uchendu
Daniel Campoy
Christopher Menart
Alexandra Hildenbrandt
BDL
AAML
198
5
0
16 Nov 2021
Consistent Semantic Attacks on Optical Flow
Tomer Koren
L. Talker
Michael Dinerstein
R. Jevnisek
AAML
118
5
0
16 Nov 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities
Knowledge-Based Systems (KBS), 2021
Waddah Saeed
C. Omlin
XAI
272
582
0
11 Nov 2021
Robust Learning via Ensemble Density Propagation in Deep Neural Networks
International Workshop on Machine Learning for Signal Processing (MLSP), 2020
Giuseppina Carannante
Dimah Dera
Ghulam Rasool
N. Bouaynaya
Lyudmila Mihaylova
AAML
MDE
102
4
0
10 Nov 2021
Sparse Adversarial Video Attacks with Spatial Transformations
British Machine Vision Conference (BMVC), 2021
Ronghui Mu
Wenjie Ruan
Leandro Soriano Marcolino
Q. Ni
AAML
299
22
0
10 Nov 2021
Assessing learned features of Deep Learning applied to EEG
Dung Truong
S. Makeig
Arnaud Delorme
101
2
0
08 Nov 2021
Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning
Runa Eschenhagen
Erik A. Daxberger
Philipp Hennig
Agustinus Kristiadi
UQCV
BDL
179
28
0
05 Nov 2021
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions
Physiological Measurement (Physiol. Meas.), 2021
Huy P Phan
Kaare B. Mikkelsen
218
125
0
03 Nov 2021
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention
British Machine Vision Conference (BMVC), 2021
S. Tan
Runpei Dong
Kaisheng Ma
343
2
0
03 Nov 2021
Class-wise Thresholding for Robust Out-of-Distribution Detection
Matteo Guarrera
Baihong Jin
Tung-Wei Lin
Maria A. Zuluaga
Yuxin Chen
Alberto L. Sangiovanni-Vincentelli
OODD
OOD
273
4
0
28 Oct 2021
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
I. Alsmadi
Kashif Ahmad
Mahmoud Nazzal
Firoj Alam
Ala I. Al-Fuqaha
Abdallah Khreishah
A. Algosaibi
AAML
159
17
0
26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey
International Journal of Computer Vision (IJCV), 2021
Jingkang Yang
Kaiyang Zhou
Shouqing Yang
Ziwei Liu
769
1,210
0
21 Oct 2021
Natural Attribute-based Shift Detection
Jeonghoon Park
Jimin Hong
Radhika Dua
Daehoon Gwak
Shouqing Yang
Jaegul Choo
Edward Choi
OOD
163
3
0
18 Oct 2021
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference
Mao Ye
Qiang Liu
201
1
0
17 Oct 2021
Robustness of different loss functions and their impact on networks learning capability
Vishal Rajput
OOD
AAML
92
19
0
15 Oct 2021
Don't Knock! Rowhammer at the Backdoor of DNN Models
M. Tol
Saad Islam
Andrew J. Adiletta
B. Sunar
Ziming Zhang
AAML
197
26
0
14 Oct 2021
Task-Driven Deep Image Enhancement Network for Autonomous Driving in Bad Weather
Younkwan Lee
Jihyo Jeon
Yeongmin Ko
B. Jeon
M. Jeon
261
32
0
14 Oct 2021
Why Out-of-distribution Detection in CNNs Does Not Like Mahalanobis -- and What to Use Instead
Kamil Szyc
T. Walkowiak
H. Maciejewski
OODD
120
0
0
13 Oct 2021
Better Pseudo-label: Joint Domain-aware Label and Dual-classifier for Semi-supervised Domain Generalization
Pattern Recognition (Pattern Recogn.), 2021
Ruiqi Wang
Lei Qi
Yinghuan Shi
Yang Gao
219
31
0
10 Oct 2021
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Itzik Klein
Guy Revach
Stefano Rini
Jonas E. Mehr
Ruud J. G. van Sloun
Yonina C. Eldar
161
15
0
10 Oct 2021
Towards Data-Free Domain Generalization
Asian Conference on Machine Learning (ACML), 2021
A. Frikha
Haokun Chen
Denis Krompass
Thomas Runkler
Volker Tresp
OOD
413
16
0
09 Oct 2021
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications
Reliability Engineering & System Safety (Reliab. Eng. Syst. Saf.), 2021
Taotao Zhou
E. Droguett
A. Mosleh
F. Chan
EDL
135
61
0
08 Oct 2021
Salient ImageNet: How to discover spurious features in Deep Learning?
International Conference on Learning Representations (ICLR), 2021
Sahil Singla
Soheil Feizi
AAML
VLM
378
135
0
08 Oct 2021
A Uniform Framework for Anomaly Detection in Deep Neural Networks
Fangzhen Zhao
Chenyi Zhang
Naipeng Dong
Zefeng You
Zhenxin Wu
AAML
OOD
OODD
178
11
0
06 Oct 2021
An Improved Genetic Algorithm and Its Application in Neural Network Adversarial Attack
Dingming Yang
Zeyu Yu
H. Yuan
Y. Cui
AAML
110
24
0
05 Oct 2021
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