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2005.01095
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A Causal View on Robustness of Neural Networks
Neural Information Processing Systems (NeurIPS), 2020
3 May 2020
Cheng Zhang
Kun Zhang
Yingzhen Li
CML
OOD
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Papers citing
"A Causal View on Robustness of Neural Networks"
42 / 42 papers shown
Towards Unbiased Cross-Modal Representation Learning for Food Image-to-Recipe Retrieval
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Chong-Wah Ngo
Ee-Peng Lim
CML
350
0
0
19 Nov 2025
Language-Conditioned Representations and Mixture-of-Experts Policy for Robust Multi-Task Robotic Manipulation
Xiucheng Zhang
Yang Jiang
Hongwei Qing
Jiashuo Bai
LM&Ro
195
1
0
28 Oct 2025
Counterfactual Visual Explanation via Causally-Guided Adversarial Steering
Yiran Qiao
Disheng Liu
Yiren Lu
Yu Yin
Mengnan Du
Jing Ma
GAN
CML
AAML
327
1
0
14 Jul 2025
Causal Interpretability for Adversarial Robustness: A Hybrid Generative Classification Approach
Chunheng Zhao
P. Pisu
G. Comert
N. Begashaw
Varghese Vaidyan
Nina Christine Hubig
AAML
317
1
0
28 Dec 2024
Amortized Inference of Causal Models via Conditional Fixed-Point Iterations
Divyat Mahajan
Jannes Gladrow
Agrin Hilmkil
Cheng Zhang
M. Scetbon
CML
617
2
0
08 Oct 2024
Certified Causal Defense with Generalizable Robustness
AAAI Conference on Artificial Intelligence (AAAI), 2024
Yiran Qiao
Yu Yin
Chen Chen
Jing Ma
AAML
OOD
CML
570
2
0
28 Aug 2024
The Essential Role of Causality in Foundation World Models for Embodied AI
Tarun Gupta
Wenbo Gong
Chao Ma
Nick Pawlowski
Agrin Hilmkil
...
Jianfeng Gao
Stefan Bauer
Danica Kragic
Bernhard Schölkopf
Cheng Zhang
340
28
0
06 Feb 2024
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models
International Conference on Information and Knowledge Management (CIKM), 2023
Preben Ness
D. Marijan
Sunanda Bose
CML
233
0
0
21 Aug 2023
Moderately Distributional Exploration for Domain Generalization
International Conference on Machine Learning (ICML), 2023
Ruiqi Dai
Yonggang Zhang
Zhen Fang
Bo Han
Xinmei Tian
OOD
309
26
0
27 Apr 2023
Backdoor Defense via Deconfounded Representation Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Zaixin Zhang
Qi Liu
Zhicai Wang
Zepu Lu
Qingyong Hu
AAML
232
56
0
13 Mar 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems
Niloy Ganguly
Dren Fazlija
Maryam Badar
M. Fisichella
Sandipan Sikdar
...
Koustav Rudra
Manolis Koubarakis
Gourab K. Patro
W. Z. E. Amri
Wolfgang Nejdl
CML
361
29
0
14 Feb 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
615
15
0
29 Jan 2023
Rethinking Causality-driven Robot Tool Segmentation with Temporal Constraints
International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2022
Hao Ding
Jinlin Wu
Zhaoshuo Li
Mathias Unberath
CML
210
11
0
30 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference
Zizhen Deng
Xiaolong Zheng
Hu Tian
D. Zeng
CML
BDL
460
21
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
215
2
0
25 Oct 2022
Learning Attention Propagation for Compositional Zero-Shot Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Muhammad Gul Zain Ali Khan
Muhammad Ferjad Naeem
Luc Van Gool
A. Pagani
D. Stricker
Muhammad Zeshan Afzal
CoGe
357
36
0
20 Oct 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities
ACM Computing Surveys (ACM CSUR), 2022
Andrea Tocchetti
Lorenzo Corti
Agathe Balayn
Mireia Yurrita
Philip Lippmann
Marco Brambilla
Jie Yang
373
33
0
17 Oct 2022
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness
Neural Information Processing Systems (NeurIPS), 2022
Mazda Moayeri
Kiarash Banihashem
Soheil Feizi
OOD
407
26
0
15 Sep 2022
Adversarial Robustness for Tabular Data through Cost and Utility Awareness
Network and Distributed System Security Symposium (NDSS), 2022
Klim Kireev
B. Kulynych
Carmela Troncoso
AAML
436
27
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
240
10
0
09 Jun 2022
Certified Robustness Against Natural Language Attacks by Causal Intervention
International Conference on Machine Learning (ICML), 2022
Haiteng Zhao
Chang Ma
Xinshuai Dong
Anh Tuan Luu
Zhi-Hong Deng
Hanwang Zhang
AAML
426
42
0
24 May 2022
Causal Discovery and Knowledge Injection for Contestable Neural Networks (with Appendices)
European Conference on Artificial Intelligence (ECAI), 2022
Fabrizio Russo
Francesca Toni
CML
368
9
0
19 May 2022
CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics Data
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Hao Ding
Jintan Zhang
Peter Kazanzides
Jinlin Wu
Mathias Unberath
360
23
0
15 Mar 2022
Disentanglement and Generalization Under Correlation Shifts
Christina M. Funke
Paul Vicol
Kuan-Chieh Wang
Matthias Kümmerer
R. Zemel
Matthias Bethge
OOD
375
8
0
29 Dec 2021
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries
Pablo Sánchez-Martín
Miriam Rateike
Isabel Valera
CML
BDL
195
21
0
27 Oct 2021
Interpreting the Robustness of Neural NLP Models to Textual Perturbations
Yunxiang Zhang
Liangming Pan
Samson Tan
Min-Yen Kan
320
24
0
14 Oct 2021
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders
Junkun Yuan
Xu Ma
Ruoxuan Xiong
Biwei Huang
Xiangyu Liu
Leilei Gan
Lanfen Lin
Kun Kuang
OOD
CML
364
13
0
04 Oct 2021
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach
Zhao Wang
Kai Shu
A. Culotta
OOD
337
20
0
03 Oct 2021
Domain-Specific Bias Filtering for Single Labeled Domain Generalization
Junkun Yuan
Xu Ma
Defang Chen
Kun Kuang
Leilei Gan
Lanfen Lin
436
27
0
02 Oct 2021
Counterfactual Adversarial Learning with Representation Interpolation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Wen Wang
Wei Ping
Ning Shi
Jinfeng Li
Bingyu Zhu
Xiangyu Liu
Rongxin Zhang
AAML
OOD
CML
184
3
0
10 Sep 2021
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing
International Conference on Information and Knowledge Management (CIKM), 2021
Sindhu C. M. Gowda
Shalmali Joshi
Haoran Zhang
Marzyeh Ghassemi
CML
264
10
0
27 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
508
5
0
11 Jul 2021
Adversarial Visual Robustness by Causal Intervention
Kaihua Tang
Ming Tao
Hanwang Zhang
CML
AAML
272
26
0
17 Jun 2021
Graph Domain Adaptation: A Generative View
ACM Transactions on Knowledge Discovery from Data (TKDD), 2021
Ruichu Cai
Fengzhu Wu
Zijian Li
Pengfei Wei
Lingling Yi
Kun Zhang
OOD
228
54
0
14 Jun 2021
CausalAdv: Adversarial Robustness through the Lens of Causality
Yonggang Zhang
Biwei Huang
Tongliang Liu
Gang Niu
Xinmei Tian
Bo Han
Bernhard Schölkopf
Kun Zhang
OOD
AAML
CML
194
45
0
11 Jun 2021
Causally Constrained Data Synthesis for Private Data Release
Varun Chandrasekaran
Darren Edge
S. Jha
Amit Sharma
Cheng Zhang
Shruti Tople
SyDa
308
3
0
27 May 2021
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation
Rongguang Wang
Pratik Chaudhari
Christos Davatzikos
OOD
544
64
0
23 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Yongfeng Zhang
Cuiling Lan
Yu Xie
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
1.3K
1,674
0
02 Mar 2021
Training a Resilient Q-Network against Observational Interference
AAAI Conference on Artificial Intelligence (AAAI), 2021
Chao-Han Huck Yang
I-Te Danny Hung
Ouyang Yi
Pin-Yu Chen
OOD
296
18
0
18 Feb 2021
Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix
Ruocheng Guo
Pengchuan Zhang
Hao Liu
Emre Kıcıman
OOD
225
37
0
16 Jan 2021
Learning Causal Semantic Representation for Out-of-Distribution Prediction
Yu Xie
Xinwei Sun
Yongfeng Zhang
Haoyue Tang
Tao Li
Tao Qin
Wei Chen
Tie-Yan Liu
CML
OODD
OOD
801
126
0
03 Nov 2020
Decoder-free Robustness Disentanglement without (Additional) Supervision
Yifei Wang
Dan Peng
Furui Liu
Zhenguo Li
Zhitang Chen
Jiansheng Yang
AAML
156
1
0
02 Jul 2020
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