AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Meng, Xiangtao, Wang, Li, Guo, Shanqing, Ju, Lei, Zhao, Qingchuan |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection
by: Ju, Yan, et al.
Published: (2024)
by: Ju, Yan, et al.
Published: (2024)
Beyond Known Fakes: Generalized Detection of AI-Generated Images via Post-hoc Distribution Alignment
by: Wang, Li, et al.
Published: (2025)
by: Wang, Li, et al.
Published: (2025)
FaceSwapGuard: Safeguarding Facial Privacy from DeepFake Threats through Identity Obfuscation
by: Wang, Li, et al.
Published: (2025)
by: Wang, Li, et al.
Published: (2025)
TriDF: Evaluating Perception, Detection, and Hallucination for Interpretable DeepFake Detection
by: Jiang-Lin, Jian-Yu, et al.
Published: (2025)
by: Jiang-Lin, Jian-Yu, et al.
Published: (2025)
Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection
by: Zhu, Delong, et al.
Published: (2024)
by: Zhu, Delong, et al.
Published: (2024)
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering
by: Huang, Yihao, et al.
Published: (2020)
by: Huang, Yihao, et al.
Published: (2020)
Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation
by: Nguyen-Le, Hong-Hanh, et al.
Published: (2025)
by: Nguyen-Le, Hong-Hanh, et al.
Published: (2025)
Beyond the Safety Tax: Mitigating Unsafe Text-to-Image Generation via External Safety Rectification
by: Meng, Xiangtao, et al.
Published: (2025)
by: Meng, Xiangtao, et al.
Published: (2025)
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks
by: Guo, Ping, et al.
Published: (2024)
by: Guo, Ping, et al.
Published: (2024)
Towards Robust Protective Perturbation against DeepFake Face Swapping
by: Yao, Hengyang, et al.
Published: (2025)
by: Yao, Hengyang, et al.
Published: (2025)
FIDAVL: Fake Image Detection and Attribution using Vision-Language Model
by: Keita, Mamadou, et al.
Published: (2024)
by: Keita, Mamadou, et al.
Published: (2024)
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks
by: Guo, Ping, et al.
Published: (2024)
by: Guo, Ping, et al.
Published: (2024)
VidLeaks: Membership Inference Attacks Against Text-to-Video Models
by: Wang, Li, et al.
Published: (2026)
by: Wang, Li, et al.
Published: (2026)
Stealthy Multi-Task Adversarial Attacks
by: Guo, Jiacheng, et al.
Published: (2024)
by: Guo, Jiacheng, et al.
Published: (2024)
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks
by: Diao, Yunfeng, et al.
Published: (2024)
by: Diao, Yunfeng, et al.
Published: (2024)
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis
by: Maag, Kira, et al.
Published: (2024)
by: Maag, Kira, et al.
Published: (2024)
MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World
by: Zhou, Zheng, et al.
Published: (2023)
by: Zhou, Zheng, et al.
Published: (2023)
Natias: Neuron Attribution based Transferable Image Adversarial Steganography
by: Fan, Zexin, et al.
Published: (2024)
by: Fan, Zexin, et al.
Published: (2024)
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
by: Pinhasov, Ben, et al.
Published: (2024)
by: Pinhasov, Ben, et al.
Published: (2024)
Hidden Tail: Adversarial Image Causing Stealthy Resource Consumption in Vision-Language Models
by: Zhang, Rui, et al.
Published: (2025)
by: Zhang, Rui, et al.
Published: (2025)
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization
by: Wang, Jiafeng, et al.
Published: (2022)
by: Wang, Jiafeng, et al.
Published: (2022)
AdvART: Adversarial Art for Camouflaged Object Detection Attacks
by: Guesmi, Amira, et al.
Published: (2023)
by: Guesmi, Amira, et al.
Published: (2023)
RoMA: Robust Malware Attribution via Byte-level Adversarial Training with Global Perturbations and Adversarial Consistency Regularization
by: Sun, Yuxia, et al.
Published: (2025)
by: Sun, Yuxia, et al.
Published: (2025)
CAPAA: Classifier-Agnostic Projector-Based Adversarial Attack
by: Li, Zhan, et al.
Published: (2025)
by: Li, Zhan, et al.
Published: (2025)
Signal Adversarial Examples Generation for Signal Detection Network via White-Box Attack
by: Li, Dongyang, et al.
Published: (2024)
by: Li, Dongyang, et al.
Published: (2024)
Autoencoder-based Denoising Defense against Adversarial Attacks on Object Detection
by: Song, Min Geun, et al.
Published: (2025)
by: Song, Min Geun, et al.
Published: (2025)
Comparative Evaluation of Deep Learning Models for Fake Image Detection
by: Pakala, Akhitha, et al.
Published: (2026)
by: Pakala, Akhitha, et al.
Published: (2026)
Snowball Adversarial Attack on Traffic Sign Classification
by: Etim, Anthony, et al.
Published: (2025)
by: Etim, Anthony, et al.
Published: (2025)
Attacking Transformers with Feature Diversity Adversarial Perturbation
by: Gao, Chenxing, et al.
Published: (2024)
by: Gao, Chenxing, et al.
Published: (2024)
Enhancing Adversarial Attacks: The Similar Target Method
by: Zhang, Shuo, et al.
Published: (2023)
by: Zhang, Shuo, et al.
Published: (2023)
Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving
by: Zheng, Junhao, et al.
Published: (2024)
by: Zheng, Junhao, et al.
Published: (2024)
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
Beyond Vulnerabilities: A Survey of Adversarial Attacks as Both Threats and Defenses in Computer Vision Systems
by: Guo, Zhongliang, et al.
Published: (2025)
by: Guo, Zhongliang, et al.
Published: (2025)
Query-Efficient Video Adversarial Attack with Stylized Logo
by: Tang, Duoxun, et al.
Published: (2024)
by: Tang, Duoxun, et al.
Published: (2024)
Fall Leaf Adversarial Attack on Traffic Sign Classification
by: Etim, Anthony, et al.
Published: (2024)
by: Etim, Anthony, et al.
Published: (2024)
Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment
by: kumar, A. Karthick, et al.
Published: (2025)
by: kumar, A. Karthick, et al.
Published: (2025)
Who Can See Through You? Adversarial Shielding Against VLM-Based Attribute Inference Attacks
by: Fan, Yucheng, et al.
Published: (2025)
by: Fan, Yucheng, et al.
Published: (2025)
An Effective and Resilient Backdoor Attack Framework against Deep Neural Networks and Vision Transformers
by: Gong, Xueluan, et al.
Published: (2024)
by: Gong, Xueluan, et al.
Published: (2024)
Boosting Adversarial Transferability via Residual Perturbation Attack
by: Peng, Jinjia, et al.
Published: (2025)
by: Peng, Jinjia, et al.
Published: (2025)
Detection of Adversarial Attacks in Robotic Perception
by: Sharawy, Ziad, et al.
Published: (2026)
by: Sharawy, Ziad, et al.
Published: (2026)
Similar Items
-
DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection
by: Ju, Yan, et al.
Published: (2024) -
Beyond Known Fakes: Generalized Detection of AI-Generated Images via Post-hoc Distribution Alignment
by: Wang, Li, et al.
Published: (2025) -
FaceSwapGuard: Safeguarding Facial Privacy from DeepFake Threats through Identity Obfuscation
by: Wang, Li, et al.
Published: (2025) -
TriDF: Evaluating Perception, Detection, and Hallucination for Interpretable DeepFake Detection
by: Jiang-Lin, Jian-Yu, et al.
Published: (2025) -
Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection
by: Zhu, Delong, et al.
Published: (2024)