Deep Anomaly Detection with Deviation Networks

19 November 2019

Chunhua Shen

Papers citing "Deep Anomaly Detection with Deviation Networks"

41 / 41 papers shown

Title
Online Isolation Forest Filippo Leveni Guilherme Weigert Cassales Bernhard Pfahringer Albert Bifet Giacomo Boracchi 24 0 0 14 May 2025
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models Nguyen H K. Do Truc Nguyen Malik Hassanaly Raed Alharbi Jung Taek Seo My T. Thai 54 0 0 09 Mar 2025
TFLAG:Towards Practical APT Detection via Deviation-Aware Learning on Temporal Provenance Graph Wenhan Jiang Tingting Chai Hongri Liu Kai Wang Hongke Zhang 39 0 0 13 Jan 2025
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 32 10 0 31 May 2024
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images Chaoqin Huang Aofan Jiang Jinghao Feng Ya Zhang Xinchao Wang Yanfeng Wang MedIm 45 25 0 19 Mar 2024
Outlier detection using flexible categorisation and interrogative agendas Marcel Boersma Krishna Manoorkar A. Palmigiano Mattia Panettiere Apostolos Tzimoulis N. Wijnberg 29 2 0 19 Dec 2023
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation Hao Dong Gaëtan Frusque Yue Zhao Eleni Chatzi Olga Fink AAML 35 5 0 20 Nov 2023
Model-free selective inference under covariate shift via weighted conformal p-values Ying Jin Emmanuel J. Candès 31 15 0 18 Jul 2023
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation Shuang Zhou Xiao Shi Huang Ninghao Liu Huachi Zhou F. Chung Longhai Huang 36 23 0 18 Jun 2023
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs Sheng Tian Jihai Dong Jintang Li Wenlong Zhao Xiaolong Xu Baokun Wang Bowen Song Changhua Meng Tianyi Zhang Liang Chen 44 30 0 23 May 2023
Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series Sondre Sørbø M. Ruocco AI4TS 34 19 0 02 Mar 2023
Cluster Purging: Efficient Outlier Detection based on Rate-Distortion Theory M. Toller Bernhard C. Geiger Roman Kern 22 3 0 22 Feb 2023
Weakly Supervised Anomaly Detection: A Survey Minqi Jiang Chaochuan Hou Ao Zheng Xiyang Hu Songqiao Han Hailiang Huang Xiangnan He Philip S. Yu Yue Zhao 33 30 0 09 Feb 2023
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series Max Schemmer Joshua Holstein Niklas Bauer Niklas Kühl G. Satzger 33 2 0 07 Feb 2023
Application Of ADNN For Background Subtraction In Smart Surveillance System Piyush Batra Gagandeep Singh N. Goyal 13 0 0 31 Dec 2022
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment Qizhou Wang Guansong Pang Mahsa Salehi Wray L. Buntine C. Leckie 32 29 0 02 Dec 2022
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch Jinsung Yoon Kihyuk Sohn Chun-Liang Li Sercan Ö. Arik Tomas Pfister 29 7 0 30 Nov 2022
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection Hongzuo Xu Yijie Wang Songlei Jian Qing Liao Yongjun Wang Guansong Pang AI4TS 21 40 0 25 Jul 2022
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection Xuanwen Huang Yang Yang Yang Wang Chunping Wang Zhisheng Zhang Jiarong Xu Lei Chen Michalis Vazirgiannis 22 82 0 30 Jun 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 41 296 0 19 Jun 2022
Attack-Agnostic Adversarial Detection Jiaxin Cheng Mohamed Hussein J. Billa Wael AbdAlmageed AAML 26 0 0 01 Jun 2022
PAC-Wrap: Semi-Supervised PAC Anomaly Detection Shuo Li Xiayan Ji Yan Sun O. Sokolsky Insup Lee 25 14 0 22 May 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection Choubo Ding Guansong Pang Chunhua Shen OOD 24 112 0 28 Mar 2022
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation Rongrong Ma Guansong Pang Ling-Hao Chen Anton Van Den Hengel 29 91 0 19 Dec 2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 32 19 0 24 Nov 2021
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination Jongmin Yu Hyeontaek Oh Minkyung Kim Junsik Kim 22 10 0 28 Oct 2021
New Perspective on Progressive GANs Distillation for One-class Novelty Detection Zhiwei Zhang Yu Dong Hanyu Peng Shifeng Chen 29 0 0 15 Sep 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning Xiaoxiao Ma Jia Wu Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu GNN AI4TS 43 538 0 14 Jun 2021
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection Yingjie Zhou Xuchen Song Yanru Zhang Fanxing Liu Ce Zhu Lingqiao Liu UQCV 22 102 0 22 May 2021
Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning Zhi Chen Jiang Duan Li Kang Guoping Qiu AI4CE 47 31 0 24 Apr 2021
Fine-grained Anomaly Detection via Multi-task Self-Supervision Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 30 6 0 20 Apr 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 37 289 0 27 Feb 2021
Few-shot Network Anomaly Detection via Cross-network Meta-learning Kaize Ding Qinghai Zhou Hanghang Tong Huan Liu 42 123 0 22 Feb 2021
Probabilistic Outlier Detection and Generation S. Rizzo L. Pang Yixian Chen S. Chawla 13 0 0 22 Dec 2020
Action Sequence Augmentation for Early Graph-based Anomaly Detection Tong Zhao Bo Ni Wenhao Yu Zhichun Guo Neil Shah Meng Jiang 45 19 0 20 Oct 2020
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series Yang Jiao Kai Yang Shaoyu Dou Pan Luo Sijia Liu Dongjin Song AI4TS 16 6 0 04 Oct 2020
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data Guansong Pang Anton Van Den Hengel Chunhua Shen LongBing Cao OffRL 38 85 0 15 Sep 2020
Anomaly Detection by Recombining Gated Unsupervised Experts Jan-Philipp Schulze Philip Sperl Konstantin Böttinger 29 1 0 31 Aug 2020
Rethinking Assumptions in Deep Anomaly Detection Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft 14 89 0 30 May 2020
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks Narinder Singh Punn Sonali Agarwal 10 191 0 23 Apr 2020
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection Jianpeng Zhang Yutong Xie Guansong Pang Zhibin Liao Johan W. Verjans ... Zongji Sun Jian He Yi Li Chunhua Shen Yong-quan Xia 16 445 0 27 Mar 2020