Fantômas: Understanding Face Anonymization Reversibility
Fuente:
arXiv
Saved in:
| Main Authors: | Todt, Julian, Hanisch, Simon, Strufe, Thorsten |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pantomime: Motion Data Anonymization using Foundation Motion Models
by: Hanisch, Simon, et al.
Published: (2025)
by: Hanisch, Simon, et al.
Published: (2025)
SEBA: Strong Evaluation of Biometric Anonymizations
by: Todt, Julian, et al.
Published: (2024)
by: Todt, Julian, et al.
Published: (2024)
A False Sense of Privacy: Towards a Reliable Evaluation Methodology for the Anonymization of Biometric Data
by: Hanisch, Simon, et al.
Published: (2023)
by: Hanisch, Simon, et al.
Published: (2023)
R+R:Understanding Hyperparameter Effects in DP-SGD
by: Morsbach, Felix, et al.
Published: (2024)
by: Morsbach, Felix, et al.
Published: (2024)
FacialMotionID: Identifying Users of Mixed Reality Headsets using Abstract Facial Motion Representations
by: Castro, Adriano, et al.
Published: (2025)
by: Castro, Adriano, et al.
Published: (2025)
Pirates: Anonymous Group Calls Over Fully Untrusted Infrastructure
by: Coijanovic, Christoph, et al.
Published: (2024)
by: Coijanovic, Christoph, et al.
Published: (2024)
Smooth Anonymity for Sparse Graphs
by: Epasto, Alessandro, et al.
Published: (2022)
by: Epasto, Alessandro, et al.
Published: (2022)
FoSAM: Forward Secret Messaging in Ad-Hoc Networks
by: Schadt, Daniel, et al.
Published: (2026)
by: Schadt, Daniel, et al.
Published: (2026)
Samplable Anonymous Aggregation for Private Federated Data Analysis
by: Talwar, Kunal, et al.
Published: (2023)
by: Talwar, Kunal, et al.
Published: (2023)
Beyond Gaze Points: Augmenting Eye Movement with Brainwave Data for Multimodal User Authentication in Extended Reality
by: Fallahi, Matin, et al.
Published: (2024)
by: Fallahi, Matin, et al.
Published: (2024)
Latent Geometry as a Structural Monitor: Eigenspace Alignment for Anomaly Detection in Anonymity Networks
by: Chhabra, Vaibhav
Published: (2026)
by: Chhabra, Vaibhav
Published: (2026)
Towards the Anonymization of the Language Modeling
by: Boutet, Antoine, et al.
Published: (2025)
by: Boutet, Antoine, et al.
Published: (2025)
Adversarial Observations in Weather Forecasting
by: Imgrund, Erik, et al.
Published: (2025)
by: Imgrund, Erik, et al.
Published: (2025)
De-Anonymization at Scale via Tournament-Style Attribution
by: Zhang, Lirui, et al.
Published: (2026)
by: Zhang, Lirui, et al.
Published: (2026)
Securing Transfer-Learned Networks with Reverse Homomorphic Encryption
by: Allison, Robert, et al.
Published: (2025)
by: Allison, Robert, et al.
Published: (2025)
Breaking On-Chip Communication Anonymity using Flow Correlation Attacks
by: Weerasena, Hansika, et al.
Published: (2023)
by: Weerasena, Hansika, et al.
Published: (2023)
Advancing Brainwave-Based Biometrics: A Large-Scale, Multi-Session Evaluation
by: Fallahi, Matin, et al.
Published: (2025)
by: Fallahi, Matin, et al.
Published: (2025)
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering
by: Zhu, Rui, et al.
Published: (2023)
by: Zhu, Rui, et al.
Published: (2023)
Hardware-Triggered Backdoors
by: Möller, Jonas, et al.
Published: (2026)
by: Möller, Jonas, et al.
Published: (2026)
Prompt Obfuscation for Large Language Models
by: Pape, David, et al.
Published: (2024)
by: Pape, David, et al.
Published: (2024)
Whispers in the Machine: Confidentiality in Agentic Systems
by: Evertz, Jonathan, et al.
Published: (2024)
by: Evertz, Jonathan, et al.
Published: (2024)
VeriX-Anon: A Multi-Layered Framework for Mathematically Verifiable Outsourced Target-Driven Data Anonymization
by: Daga, Miit, et al.
Published: (2026)
by: Daga, Miit, et al.
Published: (2026)
Robust Synthetic Data-Driven Detection of Living-Off-the-Land Reverse Shells
by: Trizna, Dmitrijs, et al.
Published: (2024)
by: Trizna, Dmitrijs, et al.
Published: (2024)
Learning from Anonymized and Incomplete Tabular Data
by: Lange, Lucas, et al.
Published: (2026)
by: Lange, Lucas, et al.
Published: (2026)
Non-omniscient backdoor injection with one poison sample: Proving the one-poison hypothesis for linear regression, linear classification, and 2-layer ReLU neural networks
by: Peinemann, Thorsten, et al.
Published: (2025)
by: Peinemann, Thorsten, et al.
Published: (2025)
S-BDT: Distributed Differentially Private Boosted Decision Trees
by: Peinemann, Thorsten, et al.
Published: (2023)
by: Peinemann, Thorsten, et al.
Published: (2023)
Learned-Database Systems Security
by: Schuster, Roei, et al.
Published: (2022)
by: Schuster, Roei, et al.
Published: (2022)
Multi-class Classifier based Failure Prediction with Artificial and Anonymous Training for Data Privacy
by: Das, Dibakar, et al.
Published: (2022)
by: Das, Dibakar, 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)
by: Arcolezi, Héber H., et al.
Published: (2025)
AI-Driven Anonymization: Protecting Personal Data Privacy While Leveraging Machine Learning
by: Yang, Le, et al.
Published: (2024)
by: Yang, Le, et al.
Published: (2024)
On the Usability of Next-Generation Authentication: A Study on Eye Movement and Brainwave-based Mechanisms
by: Fallahi, Matin, et al.
Published: (2024)
by: Fallahi, Matin, et al.
Published: (2024)
Understanding and Enhancing the Transferability of Jailbreaking Attacks
by: Lin, Runqi, et al.
Published: (2025)
by: Lin, Runqi, et al.
Published: (2025)
C-AAE: Compressively Anonymizing Autoencoders for Privacy-Preserving Activity Recognition in Healthcare Sensor Streams
by: Fujimoto, Ryusei, et al.
Published: (2025)
by: Fujimoto, Ryusei, et al.
Published: (2025)
The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against "Truly Anonymous" Synthetic Datasets
by: Ganev, Georgi, et al.
Published: (2023)
by: Ganev, Georgi, et al.
Published: (2023)
Rethinking Anonymity Claims in Synthetic Data Generation: A Model-Centric Privacy Attack Perspective
by: Ganev, Georgi, et al.
Published: (2026)
by: Ganev, Georgi, et al.
Published: (2026)
Understanding Malware Propagation Dynamics through Scientific Machine Learning
by: Pappu, Karthik, et al.
Published: (2025)
by: Pappu, Karthik, et al.
Published: (2025)
Understanding the Impact of Data Domain Extraction on Synthetic Data Privacy
by: Ganev, Georgi, et al.
Published: (2025)
by: Ganev, Georgi, et al.
Published: (2025)
Towards Explainable Federated Learning: Understanding the Impact of Differential Privacy
by: Oliveira, Júlio, et al.
Published: (2026)
by: Oliveira, Júlio, et al.
Published: (2026)
Uncovering and Understanding FPR Manipulation Attack in Industrial IoT Networks
by: Ahsan, Mohammad Shamim, et al.
Published: (2026)
by: Ahsan, Mohammad Shamim, et al.
Published: (2026)
Understanding Deep Gradient Leakage via Inversion Influence Functions
by: Zhang, Haobo, et al.
Published: (2023)
by: Zhang, Haobo, et al.
Published: (2023)
Similar Items
-
Pantomime: Motion Data Anonymization using Foundation Motion Models
by: Hanisch, Simon, et al.
Published: (2025) -
SEBA: Strong Evaluation of Biometric Anonymizations
by: Todt, Julian, et al.
Published: (2024) -
A False Sense of Privacy: Towards a Reliable Evaluation Methodology for the Anonymization of Biometric Data
by: Hanisch, Simon, et al.
Published: (2023) -
R+R:Understanding Hyperparameter Effects in DP-SGD
by: Morsbach, Felix, et al.
Published: (2024) -
FacialMotionID: Identifying Users of Mixed Reality Headsets using Abstract Facial Motion Representations
by: Castro, Adriano, et al.
Published: (2025)