Robustness of Bayesian Neural Networks to Gradient-Based Attacks

11 February 2020

Papers citing "Robustness of Bayesian Neural Networks to Gradient-Based Attacks"

50 / 55 papers shown

Title
Feature Statistics with Uncertainty Help Adversarial Robustness Ran A. Wang Xinlei Zhou Rihao Li Meng Hu Wenhui Wu Yuheng Jia AAML 77 0 0 26 Mar 2025
Poisoning Bayesian Inference via Data Deletion and Replication Matthieu Carreau Roi Naveiro William N. Caballero AAML KELM 55 0 0 06 Mar 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 62 0 0 20 Feb 2025
Variational Bayesian Bow tie Neural Networks with Shrinkage Alisa Sheinkman Sara Wade BDL UQCV 37 0 0 17 Nov 2024
Transferable 3D Adversarial Shape Completion using Diffusion Models Xuelong Dai Bin Xiao DiffM 3DPC 35 0 0 14 Jul 2024
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks Yunzhen Feng Tim G. J. Rudner Nikolaos Tsilivis Julia Kempe AAML BDL 43 1 0 27 Apr 2024
On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors Tim Rensmeyer Oliver Niggemann UQCV BDL OOD MedIm 28 0 0 13 Mar 2024
Tight Verification of Probabilistic Robustness in Bayesian Neural Networks Ben Batten Mehran Hosseini A. Lomuscio AAML 11 5 0 21 Jan 2024
Certification of Distributional Individual Fairness Matthew Wicker Vihari Piratla Adrian Weller 19 1 0 20 Nov 2023
Bayesian Neural Networks: A Min-Max Game Framework Junping Hong E. Kuruoglu 17 0 0 18 Nov 2023
Uncertainty Quantification in Inverse Models in Hydrology Somya Sharma Chatterjee Rahul Ghosh Arvind Renganathan Xiang Li Snigdhansu Chatterjee John L. Nieber Christopher J. Duffy Vipin Kumar 22 0 0 03 Oct 2023
Probabilistic Reach-Avoid for Bayesian Neural Networks Matthew Wicker Luca Laurenti A. Patané Nicola Paoletti Alessandro Abate Marta Z. Kwiatkowska 18 2 0 03 Oct 2023
Improving Transferability of Adversarial Examples via Bayesian Attacks Qizhang Li Yiwen Guo Xiaochen Yang W. Zuo Hao Chen AAML BDL 24 2 0 21 Jul 2023
A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models Agnimitra Sengupta Sudeepta Mondal A. Das S. I. Guler BDL UQCV 16 11 0 12 Jul 2023
Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness C. Hartmann Lorenz Richter AAML 11 2 0 05 Jul 2023
Post-train Black-box Defense via Bayesian Boundary Correction He-Nan Wang Yunfeng Diao AAML 34 1 0 29 Jun 2023
Adversarial Robustness Certification for Bayesian Neural Networks Matthew Wicker A. Patané Luca Laurenti Marta Z. Kwiatkowska AAML 23 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 82 7 0 19 Jun 2023
Attacks on Online Learners: a Teacher-Student Analysis R. Margiotta Sebastian Goldt G. Sanguinetti AAML 26 1 0 18 May 2023
Individual Fairness in Bayesian Neural Networks Alice Doherty Matthew Wicker Luca Laurenti A. Patané 24 5 0 21 Apr 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 32 8 0 17 Mar 2023
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts Qihan Ren Huiqi Deng Yunuo Chen Siyu Lou Quanshi Zhang BDL AAML 25 10 0 25 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 27 35 0 10 Feb 2023
On the Robustness of Randomized Ensembles to Adversarial Perturbations Hassan Dbouk Naresh R Shanbhag AAML 20 7 0 02 Feb 2023
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness Bao Gia Doan Shuiqiao Yang Paul Montague O. Vel Tamas Abraham S. Çamtepe S. Kanhere Ehsan Abbasnejad D. Ranasinghe OOD AAML 29 6 0 30 Jan 2023
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers H. Coppock G. Nicholson Ivan Kiskin Vasiliki Koutra Kieran Baker ... Björn W. Schuller D. Pigoli S. Gilmour Stephen J. Roberts Chris Holmes 49 24 0 15 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 24 8 0 05 Dec 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie-jin Yang 19 10 0 17 Oct 2022
Probabilistic Inverse Modeling: An Application in Hydrology Somya Sharma Rahul Ghosh Arvind Renganathan Xiang Li Snigdhansu Chatterjee John L. Nieber C. Duffy Vipin Kumar AI4CE 17 1 0 12 Oct 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 35 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 16 11 0 13 Jul 2022
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 8 15 0 01 Jul 2022
Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring Hans Weytjens Jochen De Weerdt 19 17 0 13 Jun 2022
How Sampling Impacts the Robustness of Stochastic Neural Networks Sina Daubener Asja Fischer SILM AAML 20 1 0 22 Apr 2022
Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks Adaku Uchendu Daniel Campoy Christopher Menart Alexandra Hildenbrandt BDL AAML 14 5 0 16 Nov 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks Kendra Albert Maggie K. Delano B. Kulynych Ramnath Kumar AAML 14 4 0 11 Jul 2021
Dangers of Bayesian Model Averaging under Covariate Shift Pavel Izmailov Patrick K. Nicholson Sanae Lotfi A. Wilson OOD UQCV BDL 24 45 0 22 Jun 2021
Machine learning in the social and health sciences A. Leist Matthias Klee Jung Hyun Kim D. Rehkopf Stéphane P. A. Bordas Graciela Muniz-Terrera Sara Wade AI4CE 23 4 0 20 Jun 2021
Localized Uncertainty Attacks Ousmane Amadou Dia Theofanis Karaletsos C. Hazirbas Cristian Canton Ferrer I. Kabul E. Meijer AAML 19 2 0 17 Jun 2021
Certification of Iterative Predictions in Bayesian Neural Networks Matthew Wicker Luca Laurenti A. Patané Nicola Paoletti Alessandro Abate Marta Z. Kwiatkowska 18 11 0 21 May 2021
Adversarial Examples Detection with Bayesian Neural Network Yao Li Tongyi Tang Cho-Jui Hsieh T. C. Lee GAN AAML 30 3 0 18 May 2021
Adversarial Robustness Guarantees for Gaussian Processes A. Patané Arno Blaas Luca Laurenti L. Cardelli Stephen J. Roberts Marta Z. Kwiatkowska GP AAML 82 9 0 07 Apr 2021
Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks Ginevra Carbone G. Sanguinetti Luca Bortolussi FAtt AAML 11 4 0 22 Feb 2021
Random Projections for Improved Adversarial Robustness Ginevra Carbone G. Sanguinetti Luca Bortolussi AAML 19 2 0 18 Feb 2021
Bayesian Inference with Certifiable Adversarial Robustness Matthew Wicker Luca Laurenti A. Patané Zhoutong Chen Zheng-Wei Zhang Marta Z. Kwiatkowska AAML BDL 20 30 0 10 Feb 2021
The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks Arno Blaas Stephen J. Roberts BDL AAML 54 2 0 07 Jan 2021
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 37 1,877 0 12 Nov 2020
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting Zeke Xie Fengxiang He Shaopeng Fu Issei Sato Dacheng Tao Masashi Sugiyama 13 59 0 12 Nov 2020
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks Martin Gubri Maxime Cordy Mike Papadakis Yves Le Traon Koushik Sen AAML 13 11 0 10 Nov 2020