Attacking Graph-based Classification via Manipulating the Graph Structure

1 March 2019

Papers citing "Attacking Graph-based Classification via Manipulating the Graph Structure"

50 / 75 papers shown

Title
Adverseness vs. Equilibrium: Exploring Graph Adversarial Resilience through Dynamic Equilibrium Xinxin Fan Wenxiong Chen Mengfan Li Wenqi Wei Ling Liu AAML 7 0 0 20 May 2025
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations Jiate Li Meng Pang Yun Dong Binghui Wang AAML 70 0 0 24 Mar 2025
Backdoor Attacks on Discrete Graph Diffusion Models Jiawen Wang Samin Karim Yuan Hong Binghui Wang DiffM 73 0 0 08 Mar 2025
Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method Jiate Li Meng Pang Binghui Wang AAML 79 1 0 17 Dec 2024
Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness Junghoon Kim Junmo Lee Yeonjun In Kanghoon Yoon Chanyoung Park 69 1 0 19 Nov 2024
RIDA: A Robust Attack Framework on Incomplete Graphs Jianke Yu Hanchen Wang Chen Chen Xiaoyang Wang Wenjie Zhang Ying Zhang Ying Zhang Xijuan Liu GNN OOD AAML 41 1 0 25 Jul 2024
Graph Neural Network Causal Explanation via Neural Causal Models Arman Behnam Binghui Wang CML 42 3 0 12 Jul 2024
Explainable AI Security: Exploring Robustness of Graph Neural Networks to Adversarial Attacks Tao Wu Canyixing Cui Xingping Xian Shaojie Qiao Chao Wang Lin Yuan Shui Yu AAML 44 0 0 20 Jun 2024
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data Rui Miao Kaixiong Zhou Yili Wang Ninghao Liu Ying Wang Xin Wang 47 4 0 24 May 2024
Safety in Graph Machine Learning: Threats and Safeguards Song Wang Yushun Dong Binchi Zhang Zihan Chen Xingbo Fu Yinhan He Cong Shen Chuxu Zhang Nitesh V. Chawla Wenlin Yao 45 7 0 17 May 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 32 0 0 14 May 2024
Link Stealing Attacks Against Inductive Graph Neural Networks Yixin Wu Xinlei He Pascal Berrang Mathias Humbert Michael Backes Neil Zhenqiang Gong Yang Zhang 42 2 0 09 May 2024
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack Xin Liu Yuxiang Zhang Meng Wu Yurui Lai Kun He Wei Yan Shirui Pan Xiaochun Ye Xiaochun Ye AAML 28 2 0 10 Mar 2024
HGAttack: Transferable Heterogeneous Graph Adversarial Attack He Zhao Zhiwei Zeng Yongwei Wang Deheng Ye Chunyan Miao AAML 40 6 0 18 Jan 2024
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification Bang Wu Xingliang Yuan Shuo Wang Qi Li Minhui Xue Shirui Pan 29 8 0 13 Dec 2023
Cost Aware Untargeted Poisoning Attack against Graph Neural Networks, Yuwei Han Y. Lai Yulin Zhu Kai Zhou AAML 25 1 0 12 Dec 2023
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 48 3 0 20 Oct 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks Haoran Liu Bokun Wang Jianling Wang Xiangjue Dong Tianbao Yang James Caverlee AAML 39 3 0 29 Aug 2023
Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance Zijun Cheng Qiujian Lv Jinyuan Liang Yan Wang Degang Sun Thomas Pasquier Xueyuan Han 24 33 0 09 Aug 2023
Coupled-Space Attacks against Random-Walk-based Anomaly Detection Y. Lai Marcin Waniek Liying Li Jing-Zheng Wu Yulin Zhu Tomasz P. Michalak Talal Rahwan Kai Zhou AAML 30 0 0 26 Jul 2023
Graph Agent Network: Empowering Nodes with Decentralized Communications Capabilities for Adversarial Resilience Ao Liu Wenshan Li Tao Li Beibei Li Hanyuan Huang Guangquan Xu Pan Zhou AAML 47 0 0 12 Jun 2023
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk? Iyiola E. Olatunji Anmar Hizber Oliver Sihlovec Megha Khosla AAML 25 6 0 01 Jun 2023
On the Security Risks of Knowledge Graph Reasoning Zhaohan Xi Tianyu Du Changjiang Li Ren Pang S. Ji Xiapu Luo Xusheng Xiao Fenglong Ma Ting Wang 27 8 0 03 May 2023
Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks Binghui Wang Meng Pang Yun Dong AAML 21 14 0 10 Mar 2023
Graph Adversarial Immunization for Certifiable Robustness Shuchang Tao Huawei Shen Qi Cao Yunfan Wu Liang Hou Xueqi Cheng AAML 6 5 0 16 Feb 2023
GUAP: Graph Universal Attack Through Adversarial Patching Xiao Zang Jie Chen Bo Yuan AAML 20 4 0 04 Jan 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 31 75 0 29 Dec 2022
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning Jianyi Zhang Fangjiao Zhang Qichao Jin Zhiqiang Wang Xiaodong Lin X. Hei AAML FedML 32 0 0 28 Dec 2022
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning Mingxuan Ju Yujie Fan Chuxu Zhang Yanfang Ye AAML 24 35 0 19 Nov 2022
ASGNN: Graph Neural Networks with Adaptive Structure Zepeng Zhang Songtao Lu Zengfeng Huang Ziping Zhao AAML 48 1 0 03 Oct 2022
Model Inversion Attacks against Graph Neural Networks Zaixin Zhang Qi Liu Zhenya Huang Hao Wang Cheekong Lee Enhong AAML 23 35 0 16 Sep 2022
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks Hussain Hussain Meng Cao Sandipan Sikdar D. Helic Elisabeth Lex M. Strohmaier Roman Kern 27 14 0 13 Sep 2022
Private Graph Extraction via Feature Explanations Iyiola E. Olatunji Mandeep Rathee Thorben Funke Megha Khosla AAML FAtt 32 11 0 29 Jun 2022
Transferable Graph Backdoor Attack Shuiqiao Yang Bao Gia Doan Paul Montague O. Vel Tamas Abraham S. Çamtepe Damith C. Ranasinghe S. Kanhere AAML 44 36 0 21 Jun 2022
Instant Graph Neural Networks for Dynamic Graphs Yanping Zheng Hanzhi Wang Zhewei Wei Jiajun Liu Sibo Wang GNN 32 20 0 03 Jun 2022
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning Hongbin Liu Jinyuan Jia Neil Zhenqiang Gong 25 34 0 13 May 2022
Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees Binghui Wang Youqin Li Pan Zhou AAML 34 13 0 07 May 2022
Black-box Node Injection Attack for Graph Neural Networks Mingxuan Ju Yujie Fan Yanfang Ye Liang Zhao AAML 18 2 0 18 Feb 2022
Task and Model Agnostic Adversarial Attack on Graph Neural Networks Kartik Sharma S. Verma Sourav Medya Arnab Bhattacharya Sayan Ranu AAML 21 8 0 25 Dec 2021
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces Volodymyr Kuleshov Evgenii Nikishin S. Thakoor Tingfung Lau Stefano Ermon AAML 27 1 0 12 Dec 2021
threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning Su Wang Zhiliang Wang Tao Zhou Xia Yin Dongqi Han Han Zhang Hongbin Sun Xingang Shi Jiahai Yang 32 69 0 08 Nov 2021
Graph Structural Attack by Perturbing Spectral Distance Lu Lin Ethan Blaser Hongning Wang AAML 8 30 0 01 Nov 2021
10 Security and Privacy Problems in Large Foundation Models Jinyuan Jia Hongbin Liu Neil Zhenqiang Gong 19 7 0 28 Oct 2021
Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks Zihan Liu Yun Luo Z. Zang Stan Z. Li AAML 21 15 0 20 Oct 2021
Single Node Injection Attack against Graph Neural Networks Shuchang Tao Qi Cao Huawei Shen Junjie Huang Yunfan Wu Xueqi Cheng AAML GNN 19 66 0 30 Aug 2021
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks Jiaming Mu Binghui Wang Qi Li Kun Sun Mingwei Xu Zhuotao Liu AAML 23 34 0 21 Aug 2021
Jointly Attacking Graph Neural Network and its Explanations Wenqi Fan Wei Jin Xiaorui Liu Han Xu Xianfeng Tang Suhang Wang Qing Li Jiliang Tang Jianping Wang Charu C. Aggarwal AAML 42 28 0 07 Aug 2021
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data I-Chung Hsieh Cheng-Te Li AAML 22 23 0 22 Jun 2021
Node-Level Membership Inference Attacks Against Graph Neural Networks Xinlei He Rui Wen Yixin Wu Michael Backes Yun Shen Yang Zhang 18 93 0 10 Feb 2021
Membership Inference Attack on Graph Neural Networks Iyiola E. Olatunji Wolfgang Nejdl Megha Khosla AAML 40 97 0 17 Jan 2021