Repurposing Image Diffusion Models for Adversarial Synthetic Structured Data: A Case Study of Ground Truth Drift
Fuente:
arXiv
Saved in:
| Main Authors: | Arthur, Adam, Schwartz, Christopher |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security
by: Rivas, Emilia, et al.
Published: (2025)
by: Rivas, Emilia, et al.
Published: (2025)
EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations
by: Ren, Jie, et al.
Published: (2024)
by: Ren, Jie, et al.
Published: (2024)
From Cyber Threat to Data Shield: Constructing Provably Secure File Erasure with Repurposed Ransomware Cryptography
by: Shang, Jiahui, et al.
Published: (2025)
by: Shang, Jiahui, et al.
Published: (2025)
A Ground-Truth-Based Evaluation of Vulnerability Detection Across Multiple Ecosystems
by: Mandl, Peter, et al.
Published: (2026)
by: Mandl, Peter, et al.
Published: (2026)
Adversarial Node Placement in Decentralized Federated Learning: Maximum Spanning-Centrality Strategy and Performance Analysis
by: Piaseczny, Adam, et al.
Published: (2025)
by: Piaseczny, Adam, et al.
Published: (2025)
Empirical Evaluation of Structured Synthetic Data Privacy Metrics: Novel experimental framework
by: Palacios, Milton Nicolás Plasencia, et al.
Published: (2025)
by: Palacios, Milton Nicolás Plasencia, et al.
Published: (2025)
A Case Study on the Use of Representativeness Bias as a Defense Against Adversarial Cyber Threats
by: Hitaj, Briland, et al.
Published: (2025)
by: Hitaj, Briland, et al.
Published: (2025)
Generative Models for Synthetic Urban Mobility Data: A Systematic Literature Review
by: Kapp, Alexandra, et al.
Published: (2024)
by: Kapp, Alexandra, et al.
Published: (2024)
CDI: Copyrighted Data Identification in Diffusion Models
by: Dubiński, Jan, et al.
Published: (2024)
by: Dubiński, Jan, et al.
Published: (2024)
A Geometry-Grounded Data Perimeter in Azure
by: Parisel, Christophe
Published: (2025)
by: Parisel, Christophe
Published: (2025)
Mirage Fools the Ear, Mute Hides the Truth: Precise Targeted Adversarial Attacks on Polyphonic Sound Event Detection Systems
by: Su, Junjie, et al.
Published: (2025)
by: Su, Junjie, et al.
Published: (2025)
Robustness of Watermarking on Text-to-Image Diffusion Models
by: Wu, Xiaodong, et al.
Published: (2024)
by: Wu, Xiaodong, et al.
Published: (2024)
Adversarial Vulnerability Under Temporal Concept Drift: A Longitudinal Study of Android Malware Detection
by: Sabbah, Ahmed, et al.
Published: (2026)
by: Sabbah, Ahmed, et al.
Published: (2026)
Privacy-Preserving Fair Synthetic Tabular Data
by: Sarmin, Fatima J., et al.
Published: (2025)
by: Sarmin, Fatima J., et al.
Published: (2025)
NADD: Amplifying Noise for Effective Diffusion-based Adversarial Purification
by: Nguyen, David D., et al.
Published: (2026)
by: Nguyen, David D., et al.
Published: (2026)
Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples
by: Li, Adrian Shuai, et al.
Published: (2024)
by: Li, Adrian Shuai, et al.
Published: (2024)
Breaking the Vault: A Case Study of the 2022 LastPass Data Breach
by: Gentles, Jessica, et al.
Published: (2025)
by: Gentles, Jessica, et al.
Published: (2025)
Attacks on Approximate Caches in Text-to-Image Diffusion Models
by: Sun, Desen, et al.
Published: (2025)
by: Sun, Desen, et al.
Published: (2025)
A Unified Framework for Adversary-Aware Differential Privacy Bounds
by: Swanberg, Marika, et al.
Published: (2025)
by: Swanberg, Marika, et al.
Published: (2025)
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification
by: Wang, Hanrui, et al.
Published: (2024)
by: Wang, Hanrui, et al.
Published: (2024)
Secure Cross-Silo Synthetic Genomic Data Generation
by: Filienko, Daniil, et al.
Published: (2026)
by: Filienko, Daniil, et al.
Published: (2026)
When Backdoors Go Beyond Triggers: Semantic Drift in Diffusion Models Under Encoder Attacks
by: Chen, Shenyang, et al.
Published: (2026)
by: Chen, Shenyang, et al.
Published: (2026)
Diffusion-Guided Adversarial Perturbation Injection for Generalizable Defense Against Facial Manipulations
by: Li, Yue, et al.
Published: (2026)
by: Li, Yue, et al.
Published: (2026)
Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets
by: Robinette, Preston K., et al.
Published: (2024)
by: Robinette, Preston K., et al.
Published: (2024)
Invisible Adversaries: A Systematic Study of Session Manipulation Attacks on VPNs
by: Yang, Yuxiang, et al.
Published: (2026)
by: Yang, Yuxiang, et al.
Published: (2026)
Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown
by: Maddi, Aadyaa, et al.
Published: (2024)
by: Maddi, Aadyaa, et al.
Published: (2024)
High Epsilon Synthetic Data Vulnerabilities in MST and PrivBayes
by: Golob, Steven, et al.
Published: (2024)
by: Golob, Steven, et al.
Published: (2024)
Red Team Redemption: A Structured Comparison of Open-Source Tools for Adversary Emulation
by: Landauer, Max, et al.
Published: (2024)
by: Landauer, Max, et al.
Published: (2024)
Privacy-Preserving ECG Data Analysis with Differential Privacy: A Literature Review and A Case Study
by: Ghazarian, Arin, et al.
Published: (2024)
by: Ghazarian, Arin, et al.
Published: (2024)
Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data
by: Song, Tianle, et al.
Published: (2025)
by: Song, Tianle, et al.
Published: (2025)
Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models
by: Ma, Jiachen, et al.
Published: (2024)
by: Ma, Jiachen, et al.
Published: (2024)
Synthetic Data: Methods, Use Cases, and Risks
by: De Cristofaro, Emiliano
Published: (2023)
by: De Cristofaro, Emiliano
Published: (2023)
Federated Learning Clients Clustering with Adaptation to Data Drifts
by: Li, Minghao, et al.
Published: (2024)
by: Li, Minghao, et al.
Published: (2024)
Adversarial Evasion in Non-Stationary Malware Detection: Minimizing Drift Signals through Similarity-Constrained Perturbations
by: Acharya, Pawan, et al.
Published: (2026)
by: Acharya, Pawan, et al.
Published: (2026)
Practical, Generalizable and Robust Backdoor Attacks on Text-to-Image Diffusion Models
by: Dai, Haoran, et al.
Published: (2025)
by: Dai, Haoran, et al.
Published: (2025)
Empirical Analysis of Adversarial Robustness and Explainability Drift in Cybersecurity Classifiers
by: Rajhans, Mona, et al.
Published: (2026)
by: Rajhans, Mona, et al.
Published: (2026)
A Comparison of SynDiffix Multi-table versus Single-table Synthetic Data
by: Francis, Paul
Published: (2024)
by: Francis, Paul
Published: (2024)
Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study
by: Walter, Mathew J., et al.
Published: (2025)
by: Walter, Mathew J., et al.
Published: (2025)
A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations
by: Yang, Yulong, et al.
Published: (2024)
by: Yang, Yulong, et al.
Published: (2024)
Diffusion-Based Image Editing: An Unforeseen Adversary to Robust Invisible Watermarks
by: Fu, Wenkai, et al.
Published: (2025)
by: Fu, Wenkai, et al.
Published: (2025)
Similar Items
-
Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security
by: Rivas, Emilia, et al.
Published: (2025) -
EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations
by: Ren, Jie, et al.
Published: (2024) -
From Cyber Threat to Data Shield: Constructing Provably Secure File Erasure with Repurposed Ransomware Cryptography
by: Shang, Jiahui, et al.
Published: (2025) -
A Ground-Truth-Based Evaluation of Vulnerability Detection Across Multiple Ecosystems
by: Mandl, Peter, et al.
Published: (2026) -
Adversarial Node Placement in Decentralized Federated Learning: Maximum Spanning-Centrality Strategy and Performance Analysis
by: Piaseczny, Adam, et al.
Published: (2025)