Understanding Measures of Uncertainty for Adversarial Example Detection

22 March 2018

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

50 / 211 papers shown

Title
Towards Accelerated Model Training via Bayesian Data Selection Zhijie Deng Peng Cui Jun Zhu 16 4 0 21 Aug 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection João Vitorino Isabel Praça Eva Maia AAML 28 22 0 13 Aug 2023
A Novel Bayes' Theorem for Upper Probabilities Michele Caprio Yusuf Sale Eyke Hüllermeier Insup Lee 23 10 0 13 Jul 2023
Quantification of Uncertainty with Adversarial Models Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi G. Klambauer Sepp Hochreiter UQCV 40 14 0 06 Jul 2023
Robust Uncertainty Estimation for Classification of Maritime Objects J. Becktor Frederik E. T. Schöller Evangelos Boukas Lazaros Nalpantidis UQCV OOD 42 2 0 03 Jul 2023
Adversarial Robustness Certification for Bayesian Neural Networks Matthew Wicker A. Patané Luca Laurenti Marta Z. Kwiatkowska AAML 31 3 0 23 Jun 2023
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming Steven Adams A. Patané Morteza Lahijanian Luca Laurenti AAML 98 7 0 19 Jun 2023
Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty? Yusuf Sale Michele Caprio Eyke Hüllermeier UD 29 25 0 16 Jun 2023
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models Qinhong Zhou Zonghan Yang Peng Li Yang Liu 22 3 0 15 Jun 2023
Explaining Predictive Uncertainty with Information Theoretic Shapley Values David S. Watson Joshua O'Hara Niek Tax Richard Mudd Ido Guy TDI FAtt 26 21 0 09 Jun 2023
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers A. Venkataramanan Assia Benbihi Martin Laviale C´edric Pradalier UQCV 29 6 0 23 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 39 82 0 19 May 2023
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification Mohammad Reza Taesiri Giang Nguyen Sarra Habchi C. Bezemer Anh Totti Nguyen VLM 32 20 0 11 Apr 2023
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts Pratinav Seth Mihir Agarwal AI4MH 21 1 0 10 Apr 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts Jian Liang Ran He Tien-Ping Tan OOD VLM TTA 35 205 0 27 Mar 2023
Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation Kai Ren K. Zou Xianjie Liu Yidi Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu EDL 30 12 0 17 Mar 2023
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis Raghav Mehta Changjian Shui Tal Arbel 21 12 0 06 Mar 2023
Credal Bayesian Deep Learning Michele Caprio Souradeep Dutta Kuk Jin Jang Vivian Lin Radoslav Ivanov O. Sokolsky Insup Lee OOD BDL UQCV 31 18 0 19 Feb 2023
Piecewise Deterministic Markov Processes for Bayesian Neural Networks Ethan Goan Dimitri Perrin Kerrie Mengersen Clinton Fookes 30 0 0 17 Feb 2023
Confidence-based Reliable Learning under Dual Noises Peng Cui Yang Yue Zhijie Deng Jun Zhu NoLa 33 8 0 10 Feb 2023
Identifying Adversarially Attackable and Robust Samples Vyas Raina Mark J. F. Gales AAML 25 3 0 30 Jan 2023
Learning to Reject with a Fixed Predictor: Application to Decontextualization Christopher Mohri D. Andor Eunsol Choi Michael Collins BDL 30 22 0 22 Jan 2023
Beckman Defense A. V. Subramanyam OOD AAML 37 0 0 04 Jan 2023
Benchmark for Uncertainty & Robustness in Self-Supervised Learning H. Bui Iliana Maifeld-Carucci OOD 19 1 0 23 Dec 2022
Uncertainty in Real-Time Semantic Segmentation on Embedded Systems Ethan Goan Clinton Fookes UQCV 23 4 0 20 Dec 2022
Selective classification using a robust meta-learning approach Nishant Jain Karthikeyan Shanmugam Pradeep Shenoy OOD 26 2 0 12 Dec 2022
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense Bao Gia Doan Ehsan Abbasnejad Javen Qinfeng Shi Damith Ranashinghe AAML OOD 26 8 0 05 Dec 2022
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification Paul F. Jaeger Carsten T. Lüth Lukas Klein Till J. Bungert UQCV 26 35 0 28 Nov 2022
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks Neil Band Tim G. J. Rudner Qixuan Feng Angelos Filos Zachary Nado Michael W. Dusenberry Ghassen Jerfel Dustin Tran Y. Gal OOD UQCV BDL 26 50 0 23 Nov 2022
Clarity: an improved gradient method for producing quality visual counterfactual explanations Claire Theobald Frédéric Pennerath Brieuc Conan-Guez Miguel Couceiro Amedeo Napoli BDL 33 0 0 22 Nov 2022
Uncertainty Quantification for Atlas-Level Cell Type Transfer J. Engelmann Leon Hetzel Giovanni Palla L. Sikkema Malte D. Luecken Fabian J. Theis 27 3 0 07 Nov 2022
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation A. Vasiliuk Daria Frolova Mikhail Belyaev B. Shirokikh 28 2 0 01 Nov 2022
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation Fan Yin Yao Li Cho-Jui Hsieh Kai-Wei Chang AAML 67 4 0 22 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 59 4 0 21 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 187 22 0 20 Oct 2022
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks Jaehoon Oh Jongwoo Ko Se-Young Yun 44 9 0 18 Oct 2022
GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation Min Seok Lee Seok Woo Yang S. W. Han 3DPC 22 21 0 02 Oct 2022
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures? Lisa Wimmer Yusuf Sale Paul Hofman Bern Bischl Eyke Hüllermeier PER UD 36 64 0 07 Sep 2022
Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training Derek Everett A. Nguyen Luke E. Richards Edward Raff OODD 22 2 0 05 Sep 2022
Probing Contextual Diversity for Dense Out-of-Distribution Detection Silvio Galesso M. A. Bravo Mehdi Naouar Thomas Brox 21 4 0 30 Aug 2022
Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry M. Penrod Harrison Termotto Varshini Reddy Jiayu Yao Finale Doshi-Velez Weiwei Pan AAML OOD 40 1 0 02 Aug 2022
On the Robustness of Bayesian Neural Networks to Adversarial Attacks Luca Bortolussi Ginevra Carbone Luca Laurenti A. Patané G. Sanguinetti Matthew Wicker AAML 21 11 0 13 Jul 2022
Detecting and Recovering Adversarial Examples from Extracting Non-robust and Highly Predictive Adversarial Perturbations Mingyu Dong Jiahao Chen Diqun Yan Jingxing Gao Li Dong Rangding Wang AAML 11 0 0 30 Jun 2022
Improved Text Classification via Test-Time Augmentation H. Lu Divya Shanmugam Harini Suresh John Guttag ViT 23 11 0 27 Jun 2022
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf MedIm 21 4 0 22 Jun 2022
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift Andreas Klass Sven M. Lorenz M. Lauer-Schmaltz David Rügamer Bernd Bischl Christopher Mutschler Felix Ott 29 10 0 17 Jun 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 26 56 0 15 Jun 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation Yujin Kim Jaehoon Oh Sungnyun Kim Se-Young Yun 29 6 0 13 May 2022
Residue-Based Natural Language Adversarial Attack Detection Vyas Raina Mark J. F. Gales AAML 19 11 0 17 Apr 2022
RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine Translation Yidan Zhang Boyi Deng Dayiheng Liu Baosong Yang Zhenan He 24 2 0 01 Mar 2022