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2002.03421
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Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing
The Web Conference (WWW), 2020
9 February 2020
Jinyuan Jia
Binghui Wang
Xiaoyu Cao
Neil Zhenqiang Gong
AAML
Re-assign community
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Papers citing
"Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing"
39 / 39 papers shown
AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks
Y. Lai
Yulin Zhu
Yizhou Sun
Yongpeng Wu
Bin Xiao
Gaolei Li
Jianhua Li
Kai Zhou
AAML
309
0
0
29 Mar 2025
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
Computer Vision and Pattern Recognition (CVPR), 2025
Jiate Li
Meng Pang
Yun Dong
Binghui Wang
AAML
309
1
0
24 Mar 2025
AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification
Jiate Li
Binghui Wang
AAML
340
3
0
02 Feb 2025
Certified Adversarial Robustness via Partition-based Randomized Smoothing
Hossein Goli
Farzan Farnia
AAML
250
0
0
20 Sep 2024
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing
Youwei Shu
Xi Xiao
Derui Wang
Yuxin Cao
Siji Chen
Jason Xue
Linyi Li
Yue Liu
335
2
0
04 Jun 2024
Certifying Robustness of Graph Convolutional Networks for Node Perturbation with Polyhedra Abstract Interpretation
Boqi Chen
Kristóf Marussy
Oszkár Semeráth
Gunter Mussbacher
Dániel Varró
AAML
334
0
0
14 May 2024
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
Tobias Ladner
Michael Eichelbeck
Matthias Althoff
GNN
452
4
0
23 Apr 2024
Collective Certified Robustness against Graph Injection Attacks
Y. Lai
Bailin Pan
Kaihuang Chen
Yancheng Yuan
Wei Song
AAML
226
4
0
03 Mar 2024
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks
Y. Lai
Yulin Zhu
Bailin Pan
Wei Song
AAML
343
11
0
07 Dec 2023
My Brother Helps Me: Node Injection Based Adversarial Attack on Social Bot Detection
ACM Multimedia (ACM MM), 2023
Yiwen Ma
Xinran Qiao
Yanwei Xie
Weizhi Nie
Yongdong Zhang
Anan Liu
GNN
251
8
0
11 Oct 2023
Structure-Aware Robustness Certificates for Graph Classification
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Pierre Osselin
Henry Kenlay
Xiaowen Dong
268
2
0
20 Jun 2023
A Certified Radius-Guided Attack Framework to Image Segmentation Models
European Symposium on Security and Privacy (Euro S&P), 2023
Wenjie Qu
Youqi Li
Binghui Wang
AAML
194
5
0
05 Apr 2023
Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks
Computer Vision and Pattern Recognition (CVPR), 2023
Binghui Wang
Meng Pang
Yun Dong
AAML
209
17
0
10 Mar 2023
Graph Adversarial Immunization for Certifiable Robustness
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Shuchang Tao
Huawei Shen
Qi Cao
Yunfan Wu
Liang Hou
Xueqi Cheng
AAML
390
8
0
16 Feb 2023
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
Neural Information Processing Systems (NeurIPS), 2023
Zhuoqun Huang
Neil G. Marchant
Keane Lucas
Lujo Bauer
O. Ohrimenko
Benjamin I. P. Rubinstein
AAML
404
20
0
31 Jan 2023
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning
Hongbin Liu
Wenjie Qu
Jinyuan Jia
Neil Zhenqiang Gong
SSL
163
6
0
06 Dec 2022
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Yulin Zhu
Liang Tong
Gaolei Li
Xiapu Luo
Wei Song
158
14
0
25 Oct 2022
FLCert: Provably Secure Federated Learning against Poisoning Attacks
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Xiaoyu Cao
Zaixi Zhang
Jinyuan Jia
Neil Zhenqiang Gong
FedML
OOD
344
84
0
02 Oct 2022
Adversarial contamination of networks in the setting of vertex nomination: a new trimming method
Sheyda Peyman
M. Tang
V. Lyzinski
AAML
153
0
0
20 Aug 2022
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing
European Conference on Computer Vision (ECCV), 2022
Hanbin Hong
Binghui Wang
Yuan Hong
AAML
221
16
0
05 Jul 2022
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning
USENIX Security Symposium (USENIX Security), 2022
Hongbin Liu
Jinyuan Jia
Neil Zhenqiang Gong
286
41
0
13 May 2022
10 Security and Privacy Problems in Large Foundation Models
Jinyuan Jia
Hongbin Liu
Neil Zhenqiang Gong
373
11
0
28 Oct 2021
Single Node Injection Attack against Graph Neural Networks
International Conference on Information and Knowledge Management (CIKM), 2021
Shuchang Tao
Qi Cao
Huawei Shen
Junjie Huang
Yunfan Wu
Xueqi Cheng
AAML
GNN
272
80
0
30 Aug 2021
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction
Xi Chen
Bo Kang
Jefrey Lijffijt
T. D. Bie
AAML
158
2
0
05 Jul 2021
Boosting Randomized Smoothing with Variance Reduced Classifiers
International Conference on Learning Representations (ICLR), 2021
Miklós Z. Horváth
Mark Niklas Muller
Marc Fischer
Martin Vechev
AAML
UQCV
305
55
0
13 Jun 2021
PointGuard: Provably Robust 3D Point Cloud Classification
Computer Vision and Pattern Recognition (CVPR), 2021
Hongbin Liu
Jinyuan Jia
Neil Zhenqiang Gong
3DPC
331
85
0
04 Mar 2021
Mask-GVAE: Blind Denoising Graphs via Partition
The Web Conference (WWW), 2021
Jia Li
Mengzhou Liu
Honglei Zhang
Pengyun Wang
Yong Wen
Lujia Pan
Hong Cheng
190
10
0
08 Feb 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Network and Distributed System Security Symposium (NDSS), 2020
Xiaoyu Cao
Minghong Fang
Jia Liu
Neil Zhenqiang Gong
FedML
639
893
0
27 Dec 2020
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
International Conference on Learning Representations (ICLR), 2020
Jinyuan Jia
Binghui Wang
Xiaoyu Cao
Hongbin Liu
Neil Zhenqiang Gong
233
26
0
15 Nov 2020
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Tiankai Xie
Yuxin Ma
Hanghang Tong
My T. Thai
Ross Maciejewski
MLAU
123
8
0
15 Sep 2020
Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing
Global Communications Conference (GLOBECOM), 2020
Zhidong Gao
Rui Hu
Yanmin Gong
AAML
OOD
143
17
0
12 Sep 2020
SoK: Certified Robustness for Deep Neural Networks
IEEE Symposium on Security and Privacy (IEEE S&P), 2020
Linyi Li
Tao Xie
Yue Liu
AAML
774
143
0
09 Sep 2020
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More
International Conference on Machine Learning (ICML), 2020
Aleksandar Bojchevski
Johannes Klicpera
Stephan Günnemann
AAML
303
93
0
29 Aug 2020
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
AAAI Conference on Artificial Intelligence (AAAI), 2020
Jinyuan Jia
Xiaoyu Cao
Neil Zhenqiang Gong
SILM
428
152
0
11 Aug 2020
Adversarial Examples and Metrics
Nico Döttling
Kathrin Grosse
Michael Backes
Ian Molloy
AAML
171
0
0
14 Jul 2020
Backdoor Attacks to Graph Neural Networks
Zaixi Zhang
Jinyuan Jia
Binghui Wang
Neil Zhenqiang Gong
GNN
322
247
0
19 Jun 2020
Backdoor Smoothing: Demystifying Backdoor Attacks on Deep Neural Networks
Computers & security (CS), 2020
Kathrin Grosse
Taesung Lee
Battista Biggio
Youngja Park
Michael Backes
Ian Molloy
AAML
191
13
0
11 Jun 2020
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies
Wei Jin
Yaxin Li
Han Xu
Yiqi Wang
Shuiwang Ji
Charu C. Aggarwal
Shucheng Zhou
AAML
GNN
333
107
0
02 Mar 2020
Adversarial Attack and Defense on Graph Data: A Survey
Lichao Sun
Yingtong Dou
Carl Yang
Ji Wang
Yixin Liu
Philip S. Yu
Lifang He
Yangqiu Song
GNN
AAML
426
353
0
26 Dec 2018
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