Cover Image

Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cribeiro-Ramallo, Jose, Arzamasov, Vadim, Matteucci, Federico, Wambold, Denis, Böhm, Klemens
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data
by: Cribeiro-Ramallo, Jose, et al.
Published: (2025)

Efficient Generation of Hidden Outliers for Improved Outlier Detection
by: Cribeiro-Ramallo, Jose, et al.
Published: (2024)

Generalizability of experimental studies
by: Matteucci, Federico, et al.
Published: (2024)

Evaluating Privacy Measures for Load Hiding
by: Arzamasov, Vadim, et al.
Published: (2024)

Adaptive Bernstein Change Detector for High-Dimensional Data Streams
by: Heyden, Marco, et al.
Published: (2023)

Rethinking Self-Replication: Detecting Distributed Selfhood in the Outlier Cellular Automaton
by: Hintze, Arend, et al.
Published: (2025)

Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures
by: Kim, Dongwook, et al.
Published: (2024)

Clustering High-dimensional Data: Balancing Abstraction and Representation Tutorial at AAAI 2026
by: Plant, Claudia, et al.
Published: (2026)

Enhancing Agricultural Environment Perception via Active Vision and Zero-Shot Learning
by: La Greca, Michele Carlo, et al.
Published: (2024)

Learning Soft Robotic Dynamics with Active Exploration
by: Zheng, Hehui, et al.
Published: (2025)

HOLMES: to Detect Adversarial Examples with Multiple Detectors
by: Wen, Jing
Published: (2024)

Domain Adversarial Active Learning for Domain Generalization Classification
by: Chen, Jianting, et al.
Published: (2024)

Tabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data
by: Herurkar, Dayananda, et al.
Published: (2025)

Meta-Learning for Unsupervised Outlier Detection with Optimal Transport
by: Singh, Prabhant, et al.
Published: (2022)

Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data
by: Herurkar, Dayananda, et al.
Published: (2024)

ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
by: Kim, Dongha, et al.
Published: (2023)

Global Outlier Detection in a Federated Learning Setting with Isolation Forest
by: Malpetti, Daniele, et al.
Published: (2024)

SurvKAN: A Fully Parametric Survival Model Based on Kolmogorov-Arnold Networks
by: Mastroleo, Marina, et al.
Published: (2026)

Beyond Binary Edits Robust Multimodal Knowledge Editing with Adversarial Subspace Alignment
by: Wang, Haoyuan, et al.
Published: (2026)

ShellForge: Adversarial Co-Evolution of Webshell Generation and Multi-View Detection for Robust Webshell Defense
by: Ding, Yizhong
Published: (2026)

Randomized PCA Forest for Unsupervised Outlier Detection
by: Rajabinasab, Muhammad, et al.
Published: (2025)

Unsupervised Event Outlier Detection in Continuous Time
by: Nath, Somjit, et al.
Published: (2024)

Adversarial Reward Auditing for Active Detection and Mitigation of Reward Hacking
by: Beigi, Mohammad, et al.
Published: (2026)

Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
by: Sun, Li, et al.
Published: (2026)

Optimization of Retrieval-Augmented Generation Context with Outlier Detection
by: Bulgakov, Vitaly
Published: (2024)

Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharing
by: Lomurno, Eugenio, et al.
Published: (2024)

QuAIL: Quality-Aware Inertial Learning for Robust Training under Data Corruption
by: Sabella, Mattia, et al.
Published: (2026)

Efficient Adversarial Attacks on High-dimensional Offline Bandits
by: Hosseini, Seyed Mohammad Hadi, et al.
Published: (2026)

Active Learning and Transfer Learning for Anomaly Detection in Time-Series Data
by: Kelleher, John D., et al.
Published: (2025)

Multi-View Attention Multiple-Instance Learning Enhanced by LLM Reasoning for Cognitive Distortion Detection
by: Kim, Jun Seo, et al.
Published: (2025)

Unsupervised Outlier Detection in Audit Analytics: A Case Study Using USA Spending Data
by: Li, Buhe, et al.
Published: (2025)

Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers (Extended Version)
by: Röchner, Philipp, et al.
Published: (2024)

EntropyStop: Unsupervised Deep Outlier Detection with Loss Entropy
by: Huang, Yihong, et al.
Published: (2024)

How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?
by: Gao, Weiguo, et al.
Published: (2024)

Adversarial Reinforcement Learning for Detecting False Data Injection Attacks in Vehicular Routing
by: Eghtesad, Taha, et al.
Published: (2026)

Long-Term Outlier Prediction Through Outlier Score Modeling
by: Aoki, Yuma, et al.
Published: (2026)

Pseudo-label Induced Subspace Representation Learning for Robust Out-of-Distribution Detection
by: Azad, Tarhib Al, et al.
Published: (2025)

Interpreting Outliers in Time Series Data through Decoding Autoencoder
by: Knab, Patrick, et al.
Published: (2024)

Rethinking LoRA for Data Heterogeneous Federated Learning: Subspace and State Alignment
by: Peng, Hongyi, et al.
Published: (2026)

Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
by: Yoon, Suhee, et al.
Published: (2024)