Awesome

IJCAI-Paper-List-of-Anomaly-Detection

A list of accepted papers in recent IJCAI about anomaly detection. A collection of few/zero-shot learning is available at this one's zhihu page. The following links will be added later.

Those papers focus mostly on (1) new models or (2) improvement of models on real-world applications.

Year 2020

Inductive Anomaly Detection on Attributed Networks [link]
Kaize Ding, Jundong Li, Nitin Agarwal, Huan Liu

Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact [link]
Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng

Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection [link]
Zhen Wang, Chao Lan

Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction [link]
Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo

Latent Regularized Generative Dual Adversarial Network For Abnormal Detection [link]
Chengwei Chen, Jing Liu, Yuan Xie, Yin Xiao Ban, Chunyun Wu, Yiqing Tao, Haichuan Song

Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection [link]
Sehun Yu, Dongha Lee, Hwanjo Yu

P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection [link]
Zhiwei Zhang, Shifeng Chen, Lei Sun

Phishing Scam Detection on Ethereum: Towards Financial Security for Blockchain Ecosystem [link]
Weili Chen, Xiongfeng Guo, Zhiguang Chen, Zibin Zheng, Yutong Lu

Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error [link]
Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, Edward McFowland

Year 2019

AddGraph: Anomaly Detection in Dynamic Graph using Attention-based Temporal GCN [link]
Li Zheng, Zhenpeng Li, Jian Li, Zhao Li, Jun Gao

LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs [link]
Weibin Meng, Ying Liu, Yichen Zhu, Shenglin Zhang, Dan Pei, Yuqing Liu, Yihao Chen, Ruizhi Zhang, Shimin Tao, Pei Sun, Rong Zhou

Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies [link]
Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao

A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data [link]
Mingyang Zhang, Tong Li, Hongzhi Shi, Yong Li, Pan Hui

Outlier Detection for Time Series with Recurrent Autoencoder Ensembles [link]
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen

Outlier-Robust Multi-Aspect Streaming Tensor Completion and Factorization [link]
Mehrnaz Najafi, Lifang He, Philip S. Yu

Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection [link]
Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao

Year 2018

ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks [link]
Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng

Deep into Hypersphere: Robust and Unsupervised Anomaly Discovery in Dynamic Networks [link]
Xian Teng, Muheng Yan, Ali Mert Ertugrul, Yu-Ru Lin

Contextual Outlier Interpretation [link]
Ninghao Liu, Donghwa Shin, Xia Hu

A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios [link]
Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu