DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection
Fuente:
arXiv
Saved in:
| Main Authors: | Du, Xia, Zhu, Jiajie, Zhou, Jizhe, Pun, Chi-man, Lin, Zheng, Wu, Cong, Chen, Zhe, Luo, Jun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
IO-RAE: Information-Obfuscation Reversible Adversarial Example for Audio Privacy Protection
by: Zhu, Jiajie, et al.
Published: (2026)
by: Zhu, Jiajie, et al.
Published: (2026)
Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation
by: Du, Xia, et al.
Published: (2025)
by: Du, Xia, et al.
Published: (2025)
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection
by: Liu, Jiang, et al.
Published: (2023)
by: Liu, Jiang, et al.
Published: (2023)
Transferability Ranking of Adversarial Examples
by: Levy, Mosh, et al.
Published: (2022)
by: Levy, Mosh, et al.
Published: (2022)
Adversarial Example Based Fingerprinting for Robust Copyright Protection in Split Learning
by: Lin, Zhangting, et al.
Published: (2025)
by: Lin, Zhangting, et al.
Published: (2025)
IDT: Dual-Task Adversarial Attacks for Privacy Protection
by: Faustini, Pedro, et al.
Published: (2024)
by: Faustini, Pedro, et al.
Published: (2024)
Revisiting Privacy-Utility Trade-off for DP Training with Pre-existing Knowledge
by: Zheng, Yu, et al.
Published: (2024)
by: Zheng, Yu, et al.
Published: (2024)
Image Privacy Protection: A Survey
by: Wen, Wenying, et al.
Published: (2024)
by: Wen, Wenying, et al.
Published: (2024)
Constraint-based Adversarial Example Synthesis
by: Yu, Fang, et al.
Published: (2024)
by: Yu, Fang, et al.
Published: (2024)
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
by: Xue, Jing, et al.
Published: (2025)
by: Xue, Jing, et al.
Published: (2025)
Prediction Inconsistency Helps Achieve Generalizable Detection of Adversarial Examples
by: Han, Sicong, et al.
Published: (2025)
by: Han, Sicong, et al.
Published: (2025)
DP-SMOTE: Integrating Differential Privacy and Oversampling Technique to Preserve Privacy in Smart Homes
by: Elsayed, Amr Tarek, et al.
Published: (2025)
by: Elsayed, Amr Tarek, et al.
Published: (2025)
Onto-DP: Constructing Neighborhoods for Differential Privacy on Ontological Databases
by: Hayder, Yasmine, et al.
Published: (2026)
by: Hayder, Yasmine, et al.
Published: (2026)
SemDP: Semantic-level Differential Privacy Protection for Face Datasets
by: Zhang, Xiaoting, et al.
Published: (2024)
by: Zhang, Xiaoting, et al.
Published: (2024)
Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models
by: Liu, Yugeng, et al.
Published: (2023)
by: Liu, Yugeng, et al.
Published: (2023)
IrisFP: Adversarial-Example-based Model Fingerprinting with Enhanced Uniqueness and Robustness
by: Geng, Ziye, et al.
Published: (2026)
by: Geng, Ziye, et al.
Published: (2026)
DP-GENG : Differentially Private Dataset Distillation Guided by DP-Generated Data
by: Shi, Shuo, et al.
Published: (2025)
by: Shi, Shuo, et al.
Published: (2025)
Privacy Enhanced PEFT: Tensor Train Decomposition Improves Privacy Utility Tradeoffs under DP-SGD
by: Kunwar, Pradip, et al.
Published: (2026)
by: Kunwar, Pradip, et al.
Published: (2026)
Ensembler: Protect Collaborative Inference Privacy from Model Inversion Attack via Selective Ensemble
by: Liu, Dancheng, et al.
Published: (2024)
by: Liu, Dancheng, et al.
Published: (2024)
Detecting Adversarial Examples
by: Mumcu, Furkan, et al.
Published: (2024)
by: Mumcu, Furkan, et al.
Published: (2024)
PEAS: A Strategy for Crafting Transferable Adversarial Examples
by: Avraham, Bar, et al.
Published: (2024)
by: Avraham, Bar, et al.
Published: (2024)
Transferable Adversarial Examples with Bayes Approach
by: Fan, Mingyuan, et al.
Published: (2022)
by: Fan, Mingyuan, et al.
Published: (2022)
Privacy Intelligence: A Survey on Image Privacy in Online Social Networks
by: Liu, Chi, et al.
Published: (2020)
by: Liu, Chi, et al.
Published: (2020)
Towards Confidential and Efficient LLM Inference with Dual Privacy Protection
by: Yu, Honglan, et al.
Published: (2025)
by: Yu, Honglan, et al.
Published: (2025)
FT-PrivacyScore: Personalized Privacy Scoring Service for Machine Learning Participation
by: Gu, Yuechun, et al.
Published: (2024)
by: Gu, Yuechun, et al.
Published: (2024)
Effectiveness of Adversarial Benign and Malware Examples in Evasion and Poisoning Attacks
by: Kozák, Matouš, et al.
Published: (2025)
by: Kozák, Matouš, et al.
Published: (2025)
NeuroTrace: Inference Provenance-Based Detection of Adversarial Examples
by: Hmida, Firas Ben, et al.
Published: (2026)
by: Hmida, Firas Ben, et al.
Published: (2026)
Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path
by: Ren, Yuchen, et al.
Published: (2024)
by: Ren, Yuchen, et al.
Published: (2024)
SMOTE-DP: Improving Privacy-Utility Tradeoff with Synthetic Data
by: Zhou, Yan, et al.
Published: (2025)
by: Zhou, Yan, et al.
Published: (2025)
Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD
by: Ertan, Murat Bilgehan, et al.
Published: (2026)
by: Ertan, Murat Bilgehan, et al.
Published: (2026)
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models
by: Liu, Yanming, et al.
Published: (2024)
by: Liu, Yanming, et al.
Published: (2024)
Enhancing Adversarial Transferability with Adversarial Weight Tuning
by: Chen, Jiahao, et al.
Published: (2024)
by: Chen, Jiahao, et al.
Published: (2024)
Robust Reversible Watermarking in Encrypted Images Based on Dual-MSBs Spiral Embedding
by: Shen, Haoyu, et al.
Published: (2026)
by: Shen, Haoyu, et al.
Published: (2026)
Dual Protection Ring: User Profiling Via Differential Privacy and Service Dissemination Through Private Information Retrieval
by: Ullah, Imdad, et al.
Published: (2025)
by: Ullah, Imdad, et al.
Published: (2025)
Location Privacy Threats and Protections in 6G Vehicular Networks: A Comprehensive Review
by: Ma, Baihe, et al.
Published: (2023)
by: Ma, Baihe, et al.
Published: (2023)
Evasive Ransomware Attacks Using Low-level Behavioral Adversarial Examples
by: Hirano, Manabu, et al.
Published: (2025)
by: Hirano, Manabu, et al.
Published: (2025)
Obfuscating IoT Device Scanning Activity via Adversarial Example Generation
by: Li, Haocong, et al.
Published: (2024)
by: Li, Haocong, et al.
Published: (2024)
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
by: Yu, Yi, et al.
Published: (2025)
by: Yu, Yi, et al.
Published: (2025)
Protecting Deep Learning Model Copyrights with Adversarial Example-Free Reuse Detection
by: Luan, Xiaokun, et al.
Published: (2024)
by: Luan, Xiaokun, et al.
Published: (2024)
DP-BART for Privatized Text Rewriting under Local Differential Privacy
by: Igamberdiev, Timour, et al.
Published: (2023)
by: Igamberdiev, Timour, et al.
Published: (2023)
Similar Items
-
IO-RAE: Information-Obfuscation Reversible Adversarial Example for Audio Privacy Protection
by: Zhu, Jiajie, et al.
Published: (2026) -
Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation
by: Du, Xia, et al.
Published: (2025) -
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection
by: Liu, Jiang, et al.
Published: (2023) -
Transferability Ranking of Adversarial Examples
by: Levy, Mosh, et al.
Published: (2022) -
Adversarial Example Based Fingerprinting for Robust Copyright Protection in Split Learning
by: Lin, Zhangting, et al.
Published: (2025)