Fence GAN: Towards Better Anomaly Detection

2 April 2019

Cuong Phuc Ngo

Amadeus Aristo Winarto

Papers citing "Fence GAN: Towards Better Anomaly Detection"

37 / 37 papers shown

Title
Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations Ahod Alghuried Ali Alkinoon Abdulaziz Alghamdi Soohyeon Choi Manar Mohaisen David A. Mohaisen AAML 35 0 0 24 Apr 2025
Fishing for Phishers: Learning-Based Phishing Detection in Ethereum Transactions Ahod Alghuried Abdulaziz Alghamdi Ali Alkinoon Soohyeon Choi Manar Mohaisen David A. Mohaisen 29 0 0 24 Apr 2025
AutoML for Multi-Class Anomaly Compensation of Sensor Drift Melanie Schaller Mathis Kruse Antonio Ortega Marius Lindauer Bodo Rosenhahn 49 1 0 26 Feb 2025
Simple Perturbations Subvert Ethereum Phishing Transactions Detection: An Empirical Analysis Ahod Alghureid David Mohaisen AAML 47 2 0 06 Aug 2024
Targeted Augmented Data for Audio Deepfake Detection Marcella Astrid Enjie Ghorbel Djamila Aouada AAML 31 0 0 10 Jul 2024
Generative Semi-supervised Graph Anomaly Detection Hezhe Qiao Qingsong Wen Xiaoli Li Ee-Peng Lim Guansong Pang 50 7 0 19 Feb 2024
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach Ayush K. Rai Tarun Krishna Feiyan Hu Alexandru Drimbarean Kevin McGuinness Alan F. Smeaton Noel E. O'Connor 47 1 0 27 Nov 2023
GADY: Unsupervised Anomaly Detection on Dynamic Graphs Shiqi Lou Qingyue Zhang Shujie Yang Yuyang Tian Zhaoxuan Tan Minnan Luo 37 3 0 25 Oct 2023
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features Sebastian Doerrich Francesco Di Salvo C. Ledig 41 3 0 29 Aug 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey Yulong Wang Tong Sun Shenghong Li Xinnan Yuan W. Ni Ekram Hossain H. Vincent Poor AAML 31 18 0 11 Mar 2023
Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors Jingtao Li Xinyu Wang Hengwei Zhao Shaoyu Wang Yanfei Zhong 17 10 0 31 Jan 2023
Raising the Bar on the Evaluation of Out-of-Distribution Detection Jishnu Mukhoti Tsung-Yu Lin Bor-Chun Chen Ashish Shah Philip Torr P. Dokania Ser-Nam Lim OODD 21 4 0 24 Sep 2022
Enhancing Generative Networks for Chest Anomaly Localization through Automatic Registration-Based Unpaired-to-Pseudo-Paired Training Data Translation Kyungsu Kim S. Oh Chae Yeon Lim J. Lee Tae Uk Kim M. Chung MedIm 39 0 0 21 Jul 2022
Machine Learning in NextG Networks via Generative Adversarial Networks E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 24 34 0 09 Mar 2022
Functional Anomaly Detection: a Benchmark Study Guillaume Staerman E. Adjakossa Pavlo Mozharovskyi V. Hofer J. Gupta Stéphan Clémençon 30 18 0 13 Jan 2022
Towards Unsupervised Open World Semantic Segmentation Svenja Uhlemeyer Matthias Rottmann Hanno Gottschalk 36 18 0 04 Jan 2022
Anomaly Detection using Capsule Networks for High-dimensional Datasets Inderjeet Singh N. Hemachandra 6 0 0 27 Dec 2021
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation Rongrong Ma Guansong Pang Ling-Hao Chen Anton Van Den Hengel 29 92 0 19 Dec 2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 34 19 0 24 Nov 2021
OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 25 6 0 28 Oct 2021
Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review Mikael Sabuhi Ming Zhou C. Bezemer Petr Musílek AI4TS MedIm 28 34 0 22 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
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris 18 6 0 26 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
Tail of Distribution GAN (TailGAN): Generative-Adversarial-Network-Based Boundary Formation Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris GAN 25 14 0 24 Jul 2021
Boundary of Distribution Support Generator (BDSG): Sample Generation on the Boundary Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris 18 12 0 21 Jul 2021
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs Siddharth Bhatia Yiwei Wang Bryan Hooi Tanmoy Chakraborty 11 5 0 29 Jun 2021
MemStream: Memory-Based Streaming Anomaly Detection Siddharth Bhatia Arjit Jain Shivin Srivastava Kenji Kawaguchi Bryan Hooi AI4TS 27 15 0 07 Jun 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
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators Jan-Philipp Schulze Philip Sperl Konstantin Böttinger 34 4 0 12 Jan 2021
Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly Detection Teguh Budianto Tomohiro Nakai Kazunori Imoto Takahiro Takimoto Kosuke Haruki GAN 14 3 0 22 Dec 2020
MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection F. V. Massoli Fabrizio Falchi Alperen Kantarci cSeymanur Akti H. K. Ekenel Giuseppe Amato 19 59 0 09 Dec 2020
Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome E. Chotzoglou Thomas Day Jeremy Tan Jacqueline Matthew D. Lloyd Reza Razavi J. Simpson Bernhard Kainz MedIm 94 8 0 15 Nov 2020
Deep Learning for Anomaly Detection: A Review Guansong Pang Chunhua Shen LongBing Cao Anton Van Den Hengel 24 896 0 06 Jul 2020
Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders Gowthami Somepalli Y. Wu Yogesh Balaji B. Vinzamuri S. Feizi 19 3 0 24 Mar 2020
History-based Anomaly Detector: an Adversarial Approach to Anomaly Detection Pierrick Chatillon C. Ballester AAML 21 6 0 26 Dec 2019
Unsupervised Learning of Anomaly Detection from Contaminated Image Data using Simultaneous Encoder Training Amanda Berg Jörgen Ahlberg M. Felsberg 25 28 0 27 May 2019