Data Enhancement for Binary Classification of Relational Data

Summary: Data enhancement for relational data classifiers to guard against adversarial poisoning in training data and unseen prediction-time attacks. A training-and-data-enhancement framework with algorithms to detect corrupted features and curate adversarial examples, achieving 20.4% robustness gains and 2.02x speed over SOTA without accuracy loss. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 7277
Venue: SIGMOD
Year: 2025
Pagerank: 5.093636e-05
Overall Rank: 10,757 | 26.20%
DOI: 10.1145/3725282

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Wenfei Fan (Beihang University; Shenzhen University; University of Edinburgh)
2. Xiaoyu Han (Fudan University)
3. Weilong Ren (Shenzhen University)
4. Zihuan Xu (Shenzhen University)

BibTeX Citation

@inproceedings{fan_sigmod25,
        title = {{Data Enhancement for Binary Classification of Relational Data}},
        author = {Fan, Wenfei and Han, Xiaoyu and Ren, Weilong and Xu, Zihuan},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3725282},
        url = {https://dl.acm.org/doi/10.1145/3725282},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
582	ActiveClean: Interactive Data Cleaning For Statistical Modeling	2016	VLDB	0.00016148948
1,121	ARDA: Automatic Relational Data Augmentation for Machine Learning	2020	VLDB	0.00012093059
1,476	Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning	2020	VLDB	0.00010659277
1,951	Interpretable Data-Based Explanations for Fairness Debugging	2022	SIGMOD	9.4252389e-05
2,297	Raha: A Configuration-Free Error Detection System	2019	SIGMOD	8.7897221e-05
3,905	Automated Feature Engineering for Algorithmic Fairness	2021	VLDB	7.029145e-05
4,062	AutoOD: Automatic Outlier Detection	2023	SIGMOD	6.9309994e-05
4,382	Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models	2021	SIGMOD	6.7331832e-05
4,516	The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures	2022	SIGMOD	6.6489359e-05
4,658	OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning	2021	SIGMOD	6.5817368e-05
6,854	iFlipper: Label Flipping for Individual Fairness	2023	SIGMOD	5.753578e-05
7,232	Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications	2023	SIGMOD	5.6659017e-05
7,397	Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems	2021	SIGMOD	5.6256632e-05
7,749	CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning	2021	SIGMOD	5.5525665e-05
8,503	Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense	2024	VLDB	5.4132367e-05
9,647	Rock: Cleaning Data by Embedding ML in Logic Rules	2024	SIGMOD	5.2430158e-05

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