Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

5 December 2014

Jeff Clune

Papers citing "Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images"

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Title
Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness Hieu M. Le Hans Walker Dung T. Tran Peter Chin 13 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 24 7 0 02 Jan 2022
Understanding and Measuring Robustness of Multimodal Learning Nishant Vishwamitra Hongxin Hu Ziming Zhao Long Cheng Feng Luo AAML 27 5 0 22 Dec 2021
Out-of-distribution Detection with Boundary Aware Learning Sen Pei Xin Zhang Bin Fan Gaofeng Meng OODD 21 8 0 22 Dec 2021
Learning Positional Embeddings for Coordinate-MLPs Sameera Ramasinghe Simon Lucey 32 10 0 21 Dec 2021
Provable Adversarial Robustness in the Quantum Model Khashayar Barooti Grzegorz Gluch R. Urbanke AAML OOD 11 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 19 35 0 16 Dec 2021
Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning Tong Chen Zhan Ma AAML 28 29 0 16 Dec 2021
Real-Time Neural Voice Camouflage Mia Chiquier Chengzhi Mao Carl Vondrick 37 6 0 14 Dec 2021
Stereoscopic Universal Perturbations across Different Architectures and Datasets Z. Berger Parth T. Agrawal Tianlin Liu Stefano Soatto A. Wong AAML 27 19 0 12 Dec 2021
Amicable Aid: Perturbing Images to Improve Classification Performance Juyeop Kim Jun-Ho Choi Soobeom Jang Jong-Seok Lee AAML 21 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 33 11 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 40 24 0 07 Dec 2021
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal Yucheng Shi Yahong Han Yu-an Tan Xiaohui Kuang 52 30 0 07 Dec 2021
The Box Size Confidence Bias Harms Your Object Detector Johannes Gilg Torben Teepe Fabian Herzog Gerhard Rigoll ObjD 23 4 0 03 Dec 2021
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 41 86 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 16 4 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 18 0 0 29 Nov 2021
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features Lars Henry Berge Olsen I. Glad Martin Jullum K. Aas TDI FAtt 32 17 0 26 Nov 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 43 459 0 24 Nov 2021
Thundernna: a white box adversarial attack Linfeng Ye Shayan Mohajer Hamidi AAML 11 5 0 24 Nov 2021
DICE: Leveraging Sparsification for Out-of-Distribution Detection Yiyou Sun Yixuan Li OODD 38 153 0 18 Nov 2021
To Trust or Not To Trust Prediction Scores for Membership Inference Attacks Dominik Hintersdorf Lukas Struppek Kristian Kersting 26 14 0 17 Nov 2021
Tracklet-Switch Adversarial Attack against Pedestrian Multi-Object Tracking Trackers Delv Lin Qi Chen Chengyu Zhou Kun He VOT AAML 33 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 30 5 0 16 Nov 2021
Consistent Semantic Attacks on Optical Flow Tomer Koren L. Talker Michael Dinerstein R. Jevnisek AAML 28 4 0 16 Nov 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 41 418 0 11 Nov 2021
Robust Learning via Ensemble Density Propagation in Deep Neural Networks Giuseppina Carannante Dimah Dera Ghulam Rasool N. Bouaynaya Lyudmila Mihaylova AAML MDE 37 5 0 10 Nov 2021
Sparse Adversarial Video Attacks with Spatial Transformations Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Q. Ni AAML 35 18 0 10 Nov 2021
Assessing learned features of Deep Learning applied to EEG Dung Truong S. Makeig Arnaud Delorme 23 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 30 22 0 05 Nov 2021
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions Huy P Phan Kaare B. Mikkelsen 19 94 0 03 Nov 2021
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention S. Tan Runpei Dong Kaisheng Ma 22 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 27 3 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 37 16 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 193 885 0 21 Oct 2021
Natural Attribute-based Shift Detection Jeonghoon Park Jimin Hong Radhika Dua Daehoon Gwak Yixuan Li Jaegul Choo Edward Choi OOD 25 3 0 18 Oct 2021
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference Mao Ye Qiang Liu 27 1 0 17 Oct 2021
Robustness of different loss functions and their impact on networks learning capability Vishal Rajput OOD AAML 20 13 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 35 15 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 56 26 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 27 0 0 13 Oct 2021
Better Pseudo-label: Joint Domain-aware Label and Dual-classifier for Semi-supervised Domain Generalization Ruiqi Wang Lei Qi Yinghuan Shi Yang Gao 35 22 0 10 Oct 2021
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models Itzik Klein Guy Revach Nir Shlezinger Jonas E. Mehr Ruud J. G. van Sloun Yonina C. Eldar 35 13 0 10 Oct 2021
Towards Data-Free Domain Generalization A. Frikha Haokun Chen Denis Krompass Thomas Runkler Volker Tresp OOD 41 14 0 09 Oct 2021
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications Taotao Zhou E. Droguett A. Mosleh F. Chan EDL 38 38 0 08 Oct 2021
Salient ImageNet: How to discover spurious features in Deep Learning? Sahil Singla S. Feizi AAML VLM 34 115 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 42 9 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 21 18 0 05 Oct 2021
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function Md Tahmid Hossain S. Teng Ferdous Sohel Guojun Lu 54 13 0 03 Oct 2021