Take Fake as Real: Realistic-like Robust Black-box Adversarial Attack to Evade AIGC Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Xie, Caiyun, Ye, Dengpan, Zhang, Yunming, Tang, Long, Lv, Yunna, Deng, Jiacheng, Song, Jiawei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Three-in-One: Robust Enhanced Universal Transferable Anti-Facial Retrieval in Online Social Networks
by: Lv, Yunna, et al.
Published: (2024)
by: Lv, Yunna, et al.
Published: (2024)
DIP-Watermark: A Double Identity Protection Method Based on Robust Adversarial Watermark
by: Zhang, Yunming, et al.
Published: (2024)
by: Zhang, Yunming, et al.
Published: (2024)
TEAM: Temporal Adversarial Examples Attack Model against Network Intrusion Detection System Applied to RNN
by: Liu, Ziyi, et al.
Published: (2024)
by: Liu, Ziyi, et al.
Published: (2024)
Trinity Detector:text-assisted and attention mechanisms based spectral fusion for diffusion generation image detection
by: Song, Jiawei, et al.
Published: (2024)
by: Song, Jiawei, et al.
Published: (2024)
AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting Strategies
by: Wang, Rui, et al.
Published: (2024)
by: Wang, Rui, et al.
Published: (2024)
ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models
by: Shen, Sipeng, et al.
Published: (2024)
by: Shen, Sipeng, et al.
Published: (2024)
StyleMark: A Robust Watermarking Method for Art Style Images Against Black-Box Arbitrary Style Transfer
by: Zhang, Yunming, et al.
Published: (2024)
by: Zhang, Yunming, et al.
Published: (2024)
Make the Most of Everything: Further Considerations on Disrupting Diffusion-based Customization
by: Tang, Long, et al.
Published: (2025)
by: Tang, Long, et al.
Published: (2025)
A General Black-box Adversarial Attack on Graph-based Fake News Detectors
by: Zhu, Peican, et al.
Published: (2024)
by: Zhu, Peican, et al.
Published: (2024)
A Wolf in Sheep's Clothing: Practical Black-box Adversarial Attacks for Evading Learning-based Windows Malware Detection in the Wild
by: Ling, Xiang, et al.
Published: (2024)
by: Ling, Xiang, et al.
Published: (2024)
Evading Black-box Classifiers Without Breaking Eggs
by: Debenedetti, Edoardo, et al.
Published: (2023)
by: Debenedetti, Edoardo, et al.
Published: (2023)
Targeted Adversarial Traffic Generation : Black-box Approach to Evade Intrusion Detection Systems in IoT Networks
by: Debicha, Islam, et al.
Published: (2026)
by: Debicha, Islam, et al.
Published: (2026)
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection
by: Bostani, Hamid, et al.
Published: (2021)
by: Bostani, Hamid, et al.
Published: (2021)
Scaling Laws for Black box Adversarial Attacks
by: Liu, Chuan, et al.
Published: (2024)
by: Liu, Chuan, et al.
Published: (2024)
Black-box Adversarial Attacks Against Image Quality Assessment Models
by: Ran, Yu, et al.
Published: (2024)
by: Ran, Yu, et al.
Published: (2024)
Shedding Light on VLN Robustness: A Black-box Framework for Indoor Lighting-based Adversarial Attack
by: Li, Chenyang, et al.
Published: (2025)
by: Li, Chenyang, et al.
Published: (2025)
Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks
by: Chen, Erh-Chung, et al.
Published: (2024)
by: Chen, Erh-Chung, et al.
Published: (2024)
ZQBA: Zero Query Black-box Adversarial Attack
by: Costa, Joana C., et al.
Published: (2025)
by: Costa, Joana C., et al.
Published: (2025)
DePatch: Towards Robust Adversarial Patch for Evading Person Detectors in the Real World
by: Cheng, Jikang, et al.
Published: (2024)
by: Cheng, Jikang, et al.
Published: (2024)
Exploring the Adversarial Robustness of Face Forgery Detection with Decision-based Black-box Attacks
by: Chen, Zhaoyu, et al.
Published: (2023)
by: Chen, Zhaoyu, et al.
Published: (2023)
Black-box Targeted Adversarial Attack on Segment Anything (SAM)
by: Zheng, Sheng, et al.
Published: (2023)
by: Zheng, Sheng, et al.
Published: (2023)
Black-box Adversarial Attacks on CNN-based SLAM Algorithms
by: Gkeka, Maria Rafaela, et al.
Published: (2025)
by: Gkeka, Maria Rafaela, et al.
Published: (2025)
Distributed Black-box Attack: Do Not Overestimate Black-box Attacks
by: Wu, Han, et al.
Published: (2022)
by: Wu, Han, et al.
Published: (2022)
Superpixel Attack: Enhancing Black-box Adversarial Attack with Image-driven Division Areas
by: Oe, Issa, et al.
Published: (2025)
by: Oe, Issa, et al.
Published: (2025)
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks
by: Zheng, Meixi, et al.
Published: (2023)
by: Zheng, Meixi, et al.
Published: (2023)
Hard-label based Small Query Black-box Adversarial Attack
by: Park, Jeonghwan, et al.
Published: (2024)
by: Park, Jeonghwan, et al.
Published: (2024)
Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack
by: Zhou, Ying, et al.
Published: (2024)
by: Zhou, Ying, et al.
Published: (2024)
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
Zero-Query Adversarial Attack on Black-box Automatic Speech Recognition Systems
by: Fang, Zheng, et al.
Published: (2024)
by: Fang, Zheng, et al.
Published: (2024)
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters
by: Sarkar, Soumyendu, et al.
Published: (2025)
by: Sarkar, Soumyendu, et al.
Published: (2025)
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks
by: Cheng, Zhiyuan, et al.
Published: (2024)
by: Cheng, Zhiyuan, et al.
Published: (2024)
Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries
by: Wang, Wenqiang, et al.
Published: (2025)
by: Wang, Wenqiang, et al.
Published: (2025)
Global BGP Attacks that Evade Route Monitoring
by: Birge-Lee, Henry, et al.
Published: (2024)
by: Birge-Lee, Henry, et al.
Published: (2024)
Out-of-the-box: Black-box Causal Attacks on Object Detectors
by: Navaratnarajah, Melane, et al.
Published: (2025)
by: Navaratnarajah, Melane, et al.
Published: (2025)
Robust Fake News Detection using Large Language Models under Adversarial Sentiment Attacks
by: Tahmasebi, Sahar, et al.
Published: (2026)
by: Tahmasebi, Sahar, et al.
Published: (2026)
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
by: Zhang, Qilong, et al.
Published: (2022)
by: Zhang, Qilong, et al.
Published: (2022)
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
by: Cheng, Shuyu, et al.
Published: (2024)
by: Cheng, Shuyu, et al.
Published: (2024)
Black-box Adversarial Attacks on Monocular Depth Estimation Using Evolutionary Multi-objective Optimization
by: Daimo, Renya, et al.
Published: (2020)
by: Daimo, Renya, et al.
Published: (2020)
Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models
by: Poudel, Bibek, et al.
Published: (2021)
by: Poudel, Bibek, et al.
Published: (2021)
Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis
by: Park, Jeonghwan, et al.
Published: (2025)
by: Park, Jeonghwan, et al.
Published: (2025)
Similar Items
-
Three-in-One: Robust Enhanced Universal Transferable Anti-Facial Retrieval in Online Social Networks
by: Lv, Yunna, et al.
Published: (2024) -
DIP-Watermark: A Double Identity Protection Method Based on Robust Adversarial Watermark
by: Zhang, Yunming, et al.
Published: (2024) -
TEAM: Temporal Adversarial Examples Attack Model against Network Intrusion Detection System Applied to RNN
by: Liu, Ziyi, et al.
Published: (2024) -
Trinity Detector:text-assisted and attention mechanisms based spectral fusion for diffusion generation image detection
by: Song, Jiawei, et al.
Published: (2024) -
AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting Strategies
by: Wang, Rui, et al.
Published: (2024)