Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Yuxuan, Yu, Tao, Huang, Wen, Zhang, Yuheng, Dai, Tao, Xia, Shu-Tao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations
by: Liu, Haitong, et al.
Published: (2025)
by: Liu, Haitong, et al.
Published: (2025)
Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization
by: Qiu, Yixiang, et al.
Published: (2025)
by: Qiu, Yixiang, et al.
Published: (2025)
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
by: Pinhasov, Ben, et al.
Published: (2024)
by: Pinhasov, Ben, et al.
Published: (2024)
Secure and Scalable Face Retrieval via Cancelable Product Quantization
by: Tang, Haomiao, et al.
Published: (2025)
by: Tang, Haomiao, et al.
Published: (2025)
Reduced Spatial Dependency for More General Video-level Deepfake Detection
by: Chu, Beilin, et al.
Published: (2025)
by: Chu, Beilin, et al.
Published: (2025)
Detecting Malicious Concepts without Image Generation in AI-Generated Content (AIGC)
by: Xu, Kun, et al.
Published: (2025)
by: Xu, Kun, et al.
Published: (2025)
Is Diffusion Model Safe? Severe Data Leakage via Gradient-Guided Diffusion Model
by: Meng, Jiayang, et al.
Published: (2024)
by: Meng, Jiayang, et al.
Published: (2024)
ICAS: Detecting Training Data from Autoregressive Image Generative Models
by: Yu, Hongyao, et al.
Published: (2025)
by: Yu, Hongyao, et al.
Published: (2025)
Video Watermarking: Safeguarding Your Video from (Unauthorized) Annotations by Video-based LLMs
by: Li, Jinmin, et al.
Published: (2024)
by: Li, Jinmin, et al.
Published: (2024)
Detection of AI Deepfake and Fraud in Online Payments Using GAN-Based Models
by: Ke, Zong, et al.
Published: (2025)
by: Ke, Zong, et al.
Published: (2025)
DeepfakeBench-MM: A Comprehensive Benchmark for Multimodal Deepfake Detection
by: Zhao, Kangran, et al.
Published: (2025)
by: Zhao, Kangran, et al.
Published: (2025)
MIBench: A Comprehensive Framework for Benchmarking Model Inversion Attack and Defense
by: Qiu, Yixiang, et al.
Published: (2024)
by: Qiu, Yixiang, et al.
Published: (2024)
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images
by: Gao, Kuofeng, et al.
Published: (2024)
by: Gao, Kuofeng, et al.
Published: (2024)
SemDP: Semantic-level Differential Privacy Protection for Face Datasets
by: Zhang, Xiaoting, et al.
Published: (2024)
by: Zhang, Xiaoting, et al.
Published: (2024)
Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces
by: Hu, Juan, et al.
Published: (2024)
by: Hu, Juan, et al.
Published: (2024)
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
by: Nguyen-Le, Hong-Hanh, et al.
Published: (2024)
by: Nguyen-Le, Hong-Hanh, et al.
Published: (2024)
CP-uniGuard: A Unified, Probability-Agnostic, and Adaptive Framework for Malicious Agent Detection and Defense in Multi-Agent Embodied Perception Systems
by: Hu, Senkang, et al.
Published: (2025)
by: Hu, Senkang, et al.
Published: (2025)
ForensicFlow: A Tri-Modal Adaptive Network for Robust Deepfake Detection
by: Romani, Mohammad
Published: (2025)
by: Romani, Mohammad
Published: (2025)
Deep Learning with Data Privacy via Residual Perturbation
by: Tao, Wenqi, et al.
Published: (2024)
by: Tao, Wenqi, et al.
Published: (2024)
A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations
by: Ye, Mang, et al.
Published: (2025)
by: Ye, Mang, et al.
Published: (2025)
DeiTFake: Deepfake Detection Model using DeiT Multi-Stage Training
by: Kumar, Saksham, et al.
Published: (2025)
by: Kumar, Saksham, et al.
Published: (2025)
Improving Image Data Leakage Detection in Automotive Software
by: Babu, Md Abu Ahammed, et al.
Published: (2024)
by: Babu, Md Abu Ahammed, et al.
Published: (2024)
Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
by: Cheng, Zhiyuan, et al.
Published: (2023)
by: Cheng, Zhiyuan, et al.
Published: (2023)
Intermediate Outputs Are More Sensitive Than You Think
by: Huang, Tao, et al.
Published: (2024)
by: Huang, Tao, et al.
Published: (2024)
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger
by: Zhu, Mingyan, et al.
Published: (2023)
by: Zhu, Mingyan, et al.
Published: (2023)
Improving the Perturbation-Based Explanation of Deepfake Detectors Through the Use of Adversarially-Generated Samples
by: Tsigos, Konstantinos, et al.
Published: (2025)
by: Tsigos, Konstantinos, et al.
Published: (2025)
Solutions to Deepfakes: Can Camera Hardware, Cryptography, and Deep Learning Verify Real Images?
by: Vilesov, Alexander, et al.
Published: (2024)
by: Vilesov, Alexander, et al.
Published: (2024)
Backdoor Attack with Sparse and Invisible Trigger
by: Gao, Yinghua, et al.
Published: (2023)
by: Gao, Yinghua, et al.
Published: (2023)
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt
by: Ying, Zonghao, et al.
Published: (2024)
by: Ying, Zonghao, et al.
Published: (2024)
1-D CNN-Based Online Signature Verification with Federated Learning
by: Zhang, Lingfeng, et al.
Published: (2024)
by: Zhang, Lingfeng, et al.
Published: (2024)
Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks
by: Ying, Zonghao, et al.
Published: (2024)
by: Ying, Zonghao, et al.
Published: (2024)
Combating Digitally Altered Images: Deepfake Detection
by: Kumar, Saksham, et al.
Published: (2025)
by: Kumar, Saksham, et al.
Published: (2025)
Learning to Detect Unseen Jailbreak Attacks in Large Vision-Language Models
by: Liang, Shuang, et al.
Published: (2025)
by: Liang, Shuang, et al.
Published: (2025)
How Generalizable are Deepfake Image Detectors? An Empirical Study
by: Li, Boquan, et al.
Published: (2023)
by: Li, Boquan, et al.
Published: (2023)
Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations
by: Pang, Lu, et al.
Published: (2024)
by: Pang, Lu, et al.
Published: (2024)
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)
Light as Deception: GPT-driven Natural Relighting Against Vision-Language Pre-training Models
by: Yang, Ying, et al.
Published: (2025)
by: Yang, Ying, 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)
Rank Matters: Understanding and Defending Model Inversion Attacks via Low-Rank Feature Filtering
by: Yu, Hongyao, et al.
Published: (2024)
by: Yu, Hongyao, et al.
Published: (2024)
Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted
by: Yuan, Shuaiwei, et al.
Published: (2025)
by: Yuan, Shuaiwei, et al.
Published: (2025)
Similar Items
-
Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations
by: Liu, Haitong, et al.
Published: (2025) -
Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization
by: Qiu, Yixiang, et al.
Published: (2025) -
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
by: Pinhasov, Ben, et al.
Published: (2024) -
Secure and Scalable Face Retrieval via Cancelable Product Quantization
by: Tang, Haomiao, et al.
Published: (2025) -
Reduced Spatial Dependency for More General Video-level Deepfake Detection
by: Chu, Beilin, et al.
Published: (2025)