A Causal View on Robustness of Neural Networks

3 May 2020

Papers citing "A Causal View on Robustness of Neural Networks"

23 / 23 papers shown

Title
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification Chunheng Zhao P. Pisu G. Comert N. Begashaw Varghese Vaidyan Nina Christine Hubig AAML 32 0 0 31 Dec 2024
Zero-Shot Learning of Causal Models Divyat Mahajan Jannes Gladrow Agrin Hilmkil Cheng Zhang M. Scetbon 42 1 0 08 Oct 2024
Certified Causal Defense with Generalizable Robustness Yiran Qiao Yu Yin Chen Chen Jing Ma AAML OOD CML 57 0 0 28 Aug 2024
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models Preben Ness D. Marijan Sunanda Bose CML 29 0 0 21 Aug 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 57 11 0 29 Jan 2023
Rethinking Causality-driven Robot Tool Segmentation with Temporal Constraints Hao Ding J. Wu Zhaoshuo Li Mathias Unberath CML 38 10 0 30 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 36 11 0 07 Nov 2022
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network Hua Hua Jun Yan Xi Fang Weiquan Huang Huilin Yin Wancheng Ge AAML 25 1 0 25 Oct 2022
Adversarial Robustness for Tabular Data through Cost and Utility Awareness Klim Kireev B. Kulynych Carmela Troncoso AAML 26 16 0 27 Aug 2022
On the Generalization and Adaption Performance of Causal Models Nino Scherrer Anirudh Goyal Stefan Bauer Yoshua Bengio Nan Rosemary Ke CML OOD BDL TTA 31 8 0 09 Jun 2022
Disentanglement and Generalization Under Correlation Shifts Christina M. Funke Paul Vicol Kuan-Chieh Jackson Wang Matthias Kümmerer R. Zemel Matthias Bethge OOD 39 7 0 29 Dec 2021
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach Zhao Wang Kai Shu A. Culotta OOD 21 14 0 03 Oct 2021
Domain-Specific Bias Filtering for Single Labeled Domain Generalization Junkun Yuan Xu Ma Defang Chen Kun Kuang Fei Wu Lanfen Lin 48 23 0 02 Oct 2021
Counterfactual Adversarial Learning with Representation Interpolation Wen Wang Wei Ping Ning Shi Jinfeng Li Bingyu Zhu Xiangyu Liu Rongxin Zhang AAML OOD CML 21 2 0 10 Sep 2021
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing Sindhu C. M. Gowda Shalmali Joshi Haoran Zhang Marzyeh Ghassemi CML 32 8 0 27 Aug 2021
Adversarial Visual Robustness by Causal Intervention Kaihua Tang Ming Tao Hanwang Zhang CML AAML 27 21 0 17 Jun 2021
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation Rongguang Wang Pratik Chaudhari Christos Davatzikos OOD 42 49 0 23 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 54 1,177 0 02 Mar 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 26 14 0 18 Feb 2021
Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang-Shu Liu Xinwei Sun Jindong Wang Haoyue Tang Tao Li Tao Qin Wei Chen Tie-Yan Liu CML OODD OOD 35 104 0 03 Nov 2020
Domain Adaptation as a Problem of Inference on Graphical Models Kun Zhang Biwei Huang P. Stojanov Erdun Gao Qingsong Liu Clark Glymour OOD 43 64 0 09 Feb 2020
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 250 915 0 21 Apr 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016