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
$Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty$ Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty Amelia Jiménez-Sánchez Diana Mateus S. Kirchhoff C. Kirchhoff P. Biberthaler Nassir Navab M. A. G. Ballester Gemma Piella 16 18 0 31 Jul 2020
A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation Munan Ning Cheng Bian Donghuan Lu Hong-Yu Zhou Shuang Yu Chenglang Yuan Yang Guo Yaohua Wang Kai Ma Yefeng Zheng 6 12 0 20 Jul 2020
Few Is Enough: Task-Augmented Active Meta-Learning for Brain Cell Classification Pengyu Yuan Aryan Mobiny J. Jahanipour Xiaoyang Li P. Cicalese B. Roysam Vishal M. Patel Maric Dragan H. Nguyen 24 13 0 09 Jul 2020
Regression Prior Networks A. Malinin Sergey Chervontsev Ivan Provilkov Mark J. F. Gales BDL UQCV 29 36 0 20 Jun 2020
Uncertainty in Gradient Boosting via Ensembles Aleksei Ustimenko Liudmila Prokhorenkova A. Malinin UQCV 28 94 0 18 Jun 2020
Capturing Label Characteristics in VAEs Thomas Joy Sebastian M. Schmon Philip H. S. Torr N. Siddharth Tom Rainforth CML DRL 17 43 0 17 Jun 2020
Selective Question Answering under Domain Shift Amita Kamath Robin Jia Percy Liang OOD 11 206 0 16 Jun 2020
Detecting unusual input to neural networks Jörg Martin Clemens Elster AAML 14 7 0 15 Jun 2020
Revisiting Explicit Regularization in Neural Networks for Well-Calibrated Predictive Uncertainty Taejong Joo U. Chung BDL UQCV 13 0 0 11 Jun 2020
Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors Gerda Bortsova C. González-Gonzalo S. Wetstein Florian Dubost Ioannis Katramados ... Bram van Ginneken J. Pluim M. Veta Clara I. Sánchez Marleen de Bruijne AAML MedIm 6 122 0 11 Jun 2020
Uncertainty Evaluation Metric for Brain Tumour Segmentation Raghav Mehta Angelos Filos Y. Gal Tal Arbel UQCV 27 16 0 28 May 2020
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification Sina Daubener Lea Schonherr Asja Fischer D. Kolossa AAML 21 18 0 24 May 2020
Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack Hakmin Lee Hong Joo Lee S. T. Kim Yong Man Ro FedML OOD AAML 13 10 0 21 May 2020
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty Xiyue Zhang Xiaofei Xie Lei Ma Xiaoning Du Q. Hu Yang Liu Jianjun Zhao Meng Sun AAML 8 76 0 24 Apr 2020
Probabilistic Safety for Bayesian Neural Networks Matthew Wicker Luca Laurenti A. Patané Marta Z. Kwiatkowska AAML 14 52 0 21 Apr 2020
B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning Shashank Bujimalla Mahesh Subedar Omesh Tickoo BDL UQCV 17 10 0 06 Apr 2020
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection Biraja Ghoshal A. Tucker UQCV OOD 16 378 0 22 Mar 2020
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Bo-wen Li P. Varshney D. Song AAML 28 47 0 16 Mar 2020
Uncertainty Estimation Using a Single Deep Deterministic Neural Network Joost R. van Amersfoort Lewis Smith Yee Whye Teh Y. Gal UQCV BDL 14 55 0 04 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 58 63 0 02 Mar 2020
Uncertainty Estimation in Autoregressive Structured Prediction A. Malinin Mark J. F. Gales UQLM 14 9 0 18 Feb 2020
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study David Mickisch F. Assion Florens Greßner W. Günther M. Motta AAML 19 34 0 05 Feb 2020
Uncertainty based Class Activation Maps for Visual Question Answering Badri N. Patro Mayank Lunayach Vinay P. Namboodiri FAtt UQCV 11 1 0 23 Jan 2020
Practical Solutions for Machine Learning Safety in Autonomous Vehicles Sina Mohseni Mandar Pitale Vasu Singh Zhangyang Wang 17 67 0 20 Dec 2019
Deep Latent Defence Giulio Zizzo C. Hankin S. Maffeis K. Jones AAML 22 2 0 09 Oct 2019
HAWKEYE: Adversarial Example Detector for Deep Neural Networks Jinkyu Koo Michael A. Roth S. Bagchi AAML 75 3 0 22 Sep 2019
Inspecting adversarial examples using the Fisher information Jörg Martin Clemens Elster AAML 13 15 0 12 Sep 2019
Probabilistic framework for solving Visual Dialog Badri N. Patro Anupriy Vinay P. Namboodiri BDL 27 13 0 11 Sep 2019
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps Badri N. Patro Mayank Lunayach Shivansh Patel Vinay P. Namboodiri FAtt UQCV 27 76 0 17 Aug 2019
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift Petra Bevandić Ivan Kreso Marin Orsic Sinisa Segvic 23 81 0 03 Aug 2019
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks Aryan Mobiny H. Nguyen S. Moulik Naveen Garg Carol C. Wu UQCV BDL 4 155 0 07 Jun 2019
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness A. Malinin Mark J. F. Gales UQCV AAML 11 172 0 31 May 2019
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections R. Y. Rohekar Yaniv Gurwicz Shami Nisimov Gal Novik BDL UQCV 21 13 0 30 May 2019
Training Data Subset Search with Ensemble Active Learning Kashyap Chitta J. Álvarez Elmar Haussmann C. Farabet 17 13 0 29 May 2019
Uncertainty Based Detection and Relabeling of Noisy Image Labels Jan M. Köhler Maximilian Autenrieth William H. Beluch NoLa 17 28 0 29 May 2019
POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic Algorithm Jinyin Chen Mengmeng Su Shijing Shen Hui Xiong Haibin Zheng AAML 14 66 0 01 May 2019
Ensemble Distribution Distillation A. Malinin Bruno Mlodozeniec Mark J. F. Gales UQCV 27 230 0 30 Apr 2019
Test Selection for Deep Learning Systems Wei Ma Mike Papadakis Anestis Tsakmalis Maxime Cordy Yves Le Traon OOD 21 91 0 30 Apr 2019
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task Kenta Hama Takashi Matsubara K. Uehara Jianfei Cai BDL UQCV 16 6 0 09 Apr 2019
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks Fatemeh Sheikholeslami Swayambhoo Jain G. Giannakis AAML 6 25 0 05 Apr 2019
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks T. Adler Lynton Ardizzone A. Vemuri Leonardo Ayala J. Gröhl ... Sebastian J. Wirkert Jakob Kruse Carsten Rother Ullrich Kothe Lena Maier-Hein UQCV 11 30 0 08 Mar 2019
On the Effectiveness of Low Frequency Perturbations Yash Sharma G. Ding Marcus A. Brubaker AAML 22 121 0 28 Feb 2019
Function Space Particle Optimization for Bayesian Neural Networks Ziyu Wang Tongzheng Ren Jun Zhu Bo Zhang BDL 23 63 0 26 Feb 2019
The Limitations of Model Uncertainty in Adversarial Settings Kathrin Grosse David Pfaff M. Smith Michael Backes AAML 9 34 0 06 Dec 2018
Prior Networks for Detection of Adversarial Attacks A. Malinin Mark J. F. Gales AAML 6 5 0 06 Dec 2018
Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference Mahesh Subedar R. Krishnan P. López-Meyer Omesh Tickoo Jonathan Huang BDL EDL UQCV 17 0 0 27 Nov 2018
Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse issue in Monte Carlo dropout via Ensembles Remus Pop Patric Fulop UQCV 11 40 0 09 Nov 2018
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles Kashyap Chitta J. Álvarez Adam Lesnikowski BDL UQCV 11 34 0 08 Nov 2018
Uncertainty in Neural Networks: Approximately Bayesian Ensembling Tim Pearce Felix Leibfried Alexandra Brintrup Mohamed H. Zaki A. Neely BDL UQCV 12 192 0 12 Oct 2018
Inhibited Softmax for Uncertainty Estimation in Neural Networks Marcin Mo.zejko Mateusz Susik Rafal Karczewski UQCV 6 29 0 03 Oct 2018