Adversarially Learned Anomaly Detection

6 December 2018

Papers citing "Adversarially Learned Anomaly Detection"

43 / 43 papers shown

Title
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior Surajit Chakrabarty Rukma Talwadker Tridib Mukherjee GAN 60 3 0 02 May 2025
Subject Information Extraction for Novelty Detection with Domain Shifts Yangyang Qu Dazhi Fu Jicong Fan OOD 59 0 0 30 Apr 2025
CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift Jiongchi Yu Xiaofei Xie Q. Hu Bowen Zhang Ziming Zhao Yun Lin Lei Ma Ruitao Feng Frank Liau 48 0 0 12 Apr 2025
Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay Hussain Jagirdar Rukma Talwadker Aditya Pareek Pulkit Agrawal Tridib Mukherjee AI4TS 43 1 0 03 Apr 2025
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies Lucas Heublein N. Raichur Tobias Feigl Tobias Brieger Fin Heuer Lennart Asbach A. Rügamer Felix Ott 49 7 0 31 Mar 2025
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning Yongshuai Liu Xin Liu GAN 103 2 0 24 Mar 2025
Generative Semi-supervised Graph Anomaly Detection Hezhe Qiao Qingsong Wen Xiaoli Li Ee-Peng Lim Guansong Pang 45 7 0 19 Feb 2024
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps Yifei Yang Peng Wang Xiaofan He Dongmian Zou 14 5 0 10 Nov 2023
Local and Global Information in Obstacle Detection on Railway Tracks Matthias Brucker Andrei Cramariuc Cornelius von Einem Roland Siegwart Cesar Cadena 22 8 0 28 Jul 2023
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection Jaemin Yoo Lingxiao Zhao L. Akoglu 30 4 0 21 Jun 2023
Cluster Purging: Efficient Outlier Detection based on Rate-Distortion Theory M. Toller Bernhard C. Geiger Roman Kern 19 3 0 22 Feb 2023
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images M. R. Siddiquee Jay Shah Teresa Wu C. Chong T. Schwedt Gina M. Dumkrieger S. Nikolova Baoxin Li MedIm 33 11 0 18 Feb 2023
Explainable Anomaly Detection in Images and Videos: A Survey Yizhou Wang Dongliang Guo Sheng Li Octavia Camps Yun Fu 29 5 0 13 Feb 2023
Making Reconstruction-based Method Great Again for Video Anomaly Detection Yizhou Wang Can Qin Yue Bai Yi Xu Xu Ma Yun Fu ViT 29 18 0 28 Jan 2023
Learning Invariant Rules from Data for Interpretable Anomaly Detection Cheng Feng Pingge Hu 26 1 0 24 Nov 2022
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings Ajay Chawda S. Grimm Marius Kloft 41 4 0 25 Oct 2022
Connective Reconstruction-based Novelty Detection Seyyed Morteza Hashemi Parvaneh Aliniya Parvin Razzaghi OODD 22 0 0 25 Oct 2022
Reconstructed Student-Teacher and Discriminative Networks for Anomaly Detection Shinji Yamada Satoshi Kamiya Kazuhiro Hotta 29 29 0 14 Oct 2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection Gaoang Wang Yibing Zhan Xinchao Wang Min-Gyoo Song K. Nahrstedt 27 11 0 24 Jul 2022
Applying Machine Learning on RSRP-based Features for False Base Station Detection Prajwol Kumar Nakarmi Jakob Sternby Ikram Ullah 17 8 0 22 Jul 2022
Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems D'Jeff K. Nkashama Ariana Soltani Jean-Charles Verdier Marc Frappier Pierre-Marting Tardif F. Kabanza OOD AAML 26 5 0 25 Jun 2022
Using EBGAN for Anomaly Intrusion Detection Yinxue Cui Wenfeng Shen Jian Zhang Weijia Lu Chuang Liu Lingge Sun Sisi Chen 21 3 0 21 Jun 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 41 296 0 19 Jun 2022
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training D. Ravì F. Barkhof Daniel C. Alexander Lemuel Puglisi Geoffrey J. M. Parker Arman Eshaghi MedIm 19 4 0 07 Jun 2022
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs Bowen Tian Qinliang Su Jian Yin 31 18 0 28 Apr 2022
on the effectiveness of generative adversarial network on anomaly detection Laya Rafiee T. Fevens 25 5 0 31 Dec 2021
Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection Marija Ivanovska Vitomir Štruc 20 2 0 28 Sep 2021
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications Dongqi Han Zhiliang Wang Wenqi Chen Ying Zhong Su Wang Han Zhang Jiahai Yang Xingang Shi Xia Yin AAML 21 76 0 23 Sep 2021
Detecting Attacks on IoT Devices using Featureless 1D-CNN Arshiya Khan Chase Cotton 19 9 0 09 Sep 2021
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection Iftitahu Ni'mah Meng Fang Vlado Menkovski Mykola Pechenizkiy 32 5 0 27 Aug 2021
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris TTA 36 8 0 26 Aug 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
OpenGAN: Open-Set Recognition via Open Data Generation Shu Kong Deva Ramanan 10 212 0 07 Apr 2021
Elsa: Energy-based learning for semi-supervised anomaly detection Sungwon Han Hyeonho Song Seungeon Lee Sungwon Park M. Cha 35 12 0 29 Mar 2021
Student-Teacher Feature Pyramid Matching for Anomaly Detection Guodong Wang Shumin Han Errui Ding Di Huang 23 214 0 07 Mar 2021
Probabilistic Outlier Detection and Generation S. Rizzo L. Pang Yixian Chen S. Chawla 13 0 0 22 Dec 2020
Out-of-Distribution Detection for Automotive Perception Julia Nitsch Masha Itkina Ransalu Senanayake Juan I. Nieto M. Schmidt Roland Siegwart Mykel J. Kochenderfer Cesar Cadena UQCV 12 63 0 03 Nov 2020
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks Alexander Geiger Dongyu Liu Sarah Alnegheimish Alfredo Cuesta-Infante K. Veeramachaneni AI4TS 22 204 0 16 Sep 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
Deep Anomaly Detection with Deviation Networks Guansong Pang Chunhua Shen Anton Van Den Hengel 10 351 0 19 Nov 2019
Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System Joseph Paul Cohen Paul Bertin Vincent Frappier OOD MedIm 37 68 0 31 Jan 2019
Inverting The Generator Of A Generative Adversarial Network Antonia Creswell Anil Anthony Bharath GAN 171 338 0 17 Nov 2016