Understanding Measures of Uncertainty for Adversarial Example Detection

22 March 2018

Papers citing "Understanding Measures of Uncertainty for Adversarial Example Detection"

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Title
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks A. Nguyen Fred Lu Gary Lopez Munoz Edward Raff Charles K. Nicholas James Holt UQCV 14 21 0 18 Feb 2022
Deep Ensembles Work, But Are They Necessary? Taiga Abe E. Kelly Buchanan Geoff Pleiss R. Zemel John P. Cunningham OOD UQCV 41 59 0 14 Feb 2022
A Note on "Assessing Generalization of SGD via Disagreement" Andreas Kirsch Y. Gal FedML UQCV 23 15 0 03 Feb 2022
Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap Carlos Mougan Dan Saattrup Nielsen 16 15 0 27 Jan 2022
SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis Qing Lyu C. Whitlow Ge Wang UQCV BDL 12 1 0 20 Jan 2022
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results Raghav Mehta Angelos Filos Ujjwal Baid C. Sako Richard McKinley ... Christos Davatzikos Bjoern H. Menze Spyridon Bakas Y. Gal Tal Arbel UQCV 17 44 0 19 Dec 2021
DeDUCE: Generating Counterfactual Explanations Efficiently Benedikt Höltgen Lisa Schut J. Brauner Y. Gal CML 21 6 0 29 Nov 2021
Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks Adaku Uchendu Daniel Campoy Christopher Menart Alexandra Hildenbrandt BDL AAML 24 5 0 16 Nov 2021
Dense Uncertainty Estimation Jing Zhang Yuchao Dai Mochu Xiang Deng-Ping Fan Peyman Moghadam Mingyi He Christian J. Walder Kaihao Zhang Mehrtash Harandi Nick Barnes UQCV BDL 54 10 0 13 Oct 2021
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation Dennis Ulmer Christian Hardmeier J. Frellsen BDL UQCV UD EDL PER 45 48 0 06 Oct 2021
Uncertainty-Aware Machine Translation Evaluation T. Glushkova Chrysoula Zerva Ricardo Rei André F.T. Martins UQLM 22 42 0 13 Sep 2021
Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks N. Mirnateghi Syed Afaq Ali Shah Bennamoun BDL AAML 14 2 0 23 Aug 2021
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints A. Nguyen Edward Raff Charles K. Nicholas James Holt 36 21 0 09 Aug 2021
Attribution of Predictive Uncertainties in Classification Models Iker Perez Piotr Skalski Alec E. Barns-Graham Jason Wong David Sutton UQCV 19 5 0 19 Jul 2021
Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks Ismail Alarab S. Prakoonwit AAML 27 14 0 15 Jul 2021
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks A. Malinin Neil Band Ganshin Alexander German Chesnokov ... Roginskiy Denis Mariya Shmatova Panos Tigas Boris Yangel UQCV OOD 29 127 0 15 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 35 1,109 0 07 Jul 2021
Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration Zhe Xu Jie Luo Donghuan Lu Jiangpeng Yan Sarah F. Frisken J. Jagadeesan W. Wells Xiu Li Yefeng Zheng R. Tong 27 16 0 06 Jul 2021
Improving black-box optimization in VAE latent space using decoder uncertainty Pascal Notin José Miguel Hernández-Lobato Y. Gal 29 61 0 30 Jun 2021
Learning Multimodal VAEs through Mutual Supervision Thomas Joy Yuge Shi Philip H. S. Torr Tom Rainforth Sebastian M. Schmon N. Siddharth SSL 24 20 0 23 Jun 2021
Test Distribution-Aware Active Learning: A Principled Approach Against Distribution Shift and Outliers Andreas Kirsch Tom Rainforth Y. Gal OOD TTA 33 22 0 22 Jun 2021
Localized Uncertainty Attacks Ousmane Amadou Dia Theofanis Karaletsos C. Hazirbas Cristian Canton Ferrer I. Kabul E. Meijer AAML 24 2 0 17 Jun 2021
Knowing More About Questions Can Help: Improving Calibration in Question Answering Shujian Zhang Chengyue Gong Eunsol Choi UQLM 27 58 0 02 Jun 2021
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart Tianyu Pang Huishuai Zhang Di He Yinpeng Dong Hang Su Wei Chen Jun Zhu Tie-Yan Liu AAML 8 16 0 31 May 2021
NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels Jingfeng Zhang Xilie Xu Bo Han Tongliang Liu Gang Niu Li-zhen Cui Masashi Sugiyama NoLa AAML 23 9 0 31 May 2021
Compensating class imbalance for acoustic chimpanzee detection with convolutional recurrent neural networks Franz Anders Ammie K. Kalan H. Kühl M. Fuchs 11 11 0 26 May 2021
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets Max Ryabinin A. Malinin Mark J. F. Gales UQCV 20 18 0 14 May 2021
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison Ahmed Aldahdooh W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 11 122 0 01 May 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection Zhijie Deng Xiao Yang Shizhen Xu Hang Su Jun Zhu BDL AAML 14 61 0 27 Mar 2021
Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties Lisa Schut Oscar Key R. McGrath Luca Costabello Bogdan Sacaleanu Medb Corcoran Y. Gal CML 10 47 0 16 Mar 2021
Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection Ahmed Aldahdooh W. Hamidouche Olivier Déforges AAML 13 28 0 09 Mar 2021
Posterior Meta-Replay for Continual Learning Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 51 54 0 01 Mar 2021
Deep Deterministic Uncertainty: A Simple Baseline Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Philip H. S. Torr Y. Gal UD UQCV PER BDL 24 145 0 23 Feb 2021
Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks Ginevra Carbone G. Sanguinetti Luca Bortolussi FAtt AAML 15 4 0 22 Feb 2021
Adversarial Learning with Cost-Sensitive Classes Hao Shen Sihong Chen Ran Wang Xizhao Wang AAML 14 11 0 29 Jan 2021
Dense outlier detection and open-set recognition based on training with noisy negative images Petra Bevandić Ivan Kreso Marin Orsic Sinisa Segvic 20 30 0 22 Jan 2021
The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks Arno Blaas Stephen J. Roberts BDL AAML 60 2 0 07 Jan 2021
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling D. Klotz Frederik Kratzert M. Gauch A. Sampson G. Klambauer Sepp Hochreiter G. Nearing BDL UQCV 18 106 0 15 Dec 2020
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 188 157 0 14 Dec 2020
Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection Dennis Ulmer Giovanni Cina OODD 32 31 0 09 Dec 2020
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks Hao Shen Sihong Chen Ran Wang 30 5 0 27 Nov 2020
Ensemble Distillation Approaches for Grammatical Error Correction Yassir Fathullah Mark J. F. Gales A. Malinin 9 11 0 24 Nov 2020
Better Aggregation in Test-Time Augmentation Divya Shanmugam Davis W. Blalock Guha Balakrishnan John Guttag ViT 15 145 0 23 Nov 2020
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks Thai Le Noseong Park Dongwon Lee 10 23 0 20 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 51 1,879 0 12 Nov 2020
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data Dennis Ulmer L. Meijerink Giovanni Cina OOD 8 64 0 06 Nov 2020
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? Anna-Kathrin Kopetzki Bertrand Charpentier Daniel Zügner Sandhya Giri Stephan Günnemann 23 45 0 28 Oct 2020
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning Zhijie Deng Jun Zhu BDL 23 9 0 05 Oct 2020
Neural Bootstrapper Minsuk Shin Hyungjoon Cho Hyun-Seok Min Sungbin Lim UQCV BDL 22 7 0 02 Oct 2020
Probabilistic Deep Learning for Instance Segmentation J. L. Rumberger Lisa Mais Dagmar Kainmueller UQCV SSeg 24 9 0 24 Aug 2020