:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Marvin, Eberhardinger, Manuel, Maucher, Johannes
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2602.19641
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming
by: Eberhardinger, Manuel, et al.
Published: (2024)

Classification of Inkjet Printers based on Droplet Statistics
by: Takenaka, Patrick, et al.
Published: (2024)

Anonymization of Documents for Law Enforcement with Machine Learning
by: Eberhardinger, Manuel, et al.
Published: (2025)

Generation of Programmatic Rules for Document Forgery Detection Using Large Language Models
by: Schmidberger, Valentin, et al.
Published: (2025)

Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning
by: Rupp, Florian, et al.
Published: (2025)

Balancing of competitive two-player Game Levels with Reinforcement Learning
by: Rupp, Florian, et al.
Published: (2023)

ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios using Procedural Knowledge
by: Takenaka, Patrick, et al.
Published: (2024)

Guiding Video Prediction with Explicit Procedural Knowledge
by: Takenaka, Patrick, et al.
Published: (2024)

Evaluation of Pipelines for Data Integration into Knowledge Graphs
by: Hofer, Marvin, et al.
Published: (2026)

KGpipe: Generation and Evaluation of Pipelines for Data Integration into Knowledge Graphs
by: Hofer, Marvin, et al.
Published: (2025)

Samplable Anonymous Aggregation for Private Federated Data Analysis
by: Talwar, Kunal, et al.
Published: (2023)

The Impact of Speech Anonymization on Pathology and Its Limits
by: Arasteh, Soroosh Tayebi, et al.
Published: (2024)

Learning from Anonymized and Incomplete Tabular Data
by: Lange, Lucas, et al.
Published: (2026)

Model-Agnostic Utility-Preserving Biometric Information Anonymization
by: Chen, Chun-Fu, et al.
Published: (2024)

Improving the Speaker Anonymization Evaluation's Robustness to Target Speakers with Adversarial Learning
by: Franzreb, Carlos, et al.
Published: (2025)

Smooth Anonymity for Sparse Graphs
by: Epasto, Alessandro, et al.
Published: (2022)

Multi-Objective Optimization-Based Anonymization of Structured Data for Machine Learning Application
by: Wei, Yusi, et al.
Published: (2025)

Unsafe2Safe: Controllable Image Anonymization for Downstream Utility
by: Dinh, Mih, et al.
Published: (2026)

Fantômas: Understanding Face Anonymization Reversibility
by: Todt, Julian, et al.
Published: (2022)

Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness
by: Arcolezi, Héber H., et al.
Published: (2025)

Latent Pollution Model: The Hidden Carbon Footprint in 3D Image Synthesis
by: Seyfarth, Marvin, et al.
Published: (2024)

Generative Anonymization in Event Streams
by: Müller, Adam T., et al.
Published: (2026)

Towards the Anonymization of the Language Modeling
by: Boutet, Antoine, et al.
Published: (2025)

Region of Interest Loss for Anonymizing Learned Image Compression
by: Liebender, Christoph, et al.
Published: (2024)

PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications
by: Knauer, Ricardo, et al.
Published: (2024)

Blink of an eye: a simple theory for feature localization in generative models
by: Li, Marvin, et al.
Published: (2025)

AI-Driven Anonymization: Protecting Personal Data Privacy While Leveraging Machine Learning
by: Yang, Le, et al.
Published: (2024)

Multi-class Classifier based Failure Prediction with Artificial and Anonymous Training for Data Privacy
by: Das, Dibakar, et al.
Published: (2022)

Critical windows: non-asymptotic theory for feature emergence in diffusion models
by: Li, Marvin, et al.
Published: (2024)

Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data
by: Mishra, Aayush, et al.
Published: (2025)

Rethinking Anonymity Claims in Synthetic Data Generation: A Model-Centric Privacy Attack Perspective
by: Ganev, Georgi, et al.
Published: (2026)

Diffusion Active Learning: Towards Data-Driven Experimental Design in Computed Tomography
by: Barba, Luis, et al.
Published: (2025)

Posterior SBC: Simulation-Based Calibration Checking Conditional on Data
by: Säilynoja, Teemu, et al.
Published: (2025)

Self-Refining Language Model Anonymizers via Adversarial Distillation
by: Kim, Kyuyoung, et al.
Published: (2025)

VeriX-Anon: A Multi-Layered Framework for Mathematically Verifiable Outsourced Target-Driven Data Anonymization
by: Daga, Miit, et al.
Published: (2026)

Toward Understanding the Disagreement Problem in Neural Network Feature Attribution
by: Koenen, Niklas, et al.
Published: (2024)

Interpreting Deep Neural Networks with the Package innsight
by: Koenen, Niklas, et al.
Published: (2023)

Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
by: He, Rundong, et al.
Published: (2025)

De-Anonymization at Scale via Tournament-Style Attribution
by: Zhang, Lirui, et al.
Published: (2026)

RareCP: Regime-Aware Retrieval for Efficient Conformal Prediction
by: Heurich, Manuel, et al.
Published: (2026)