Saved in:
| Main Authors: | Babu, Md Abu Ahammed, Pandey, Sushant Kumar, Durisic, Darko, Koppisetty, Ashok Chaitanya, Staron, Miroslaw |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.23312 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Data Leakage in Automotive Perception: Practitioners' Insights
by: Babu, Md Abu Ahammed, et al.
Published: (2026)
by: Babu, Md Abu Ahammed, et al.
Published: (2026)
Understanding the Changing Landscape of Automotive Software Vulnerabilities: Insights from a Seven-Year Analysis
by: Basu, Srijita, et al.
Published: (2025)
by: Basu, Srijita, 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)
Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation
by: Zhou, Yuxuan, et al.
Published: (2025)
by: Zhou, Yuxuan, et al.
Published: (2025)
PhishSnap: Image-Based Phishing Detection Using Perceptual Hashing
by: Minhaz, Md Abdul Ahad, et al.
Published: (2025)
by: Minhaz, Md Abdul Ahad, et al.
Published: (2025)
Boosting Gradient Leakage Attacks: Data Reconstruction in Realistic FL Settings
by: Fan, Mingyuan, et al.
Published: (2025)
by: Fan, Mingyuan, et al.
Published: (2025)
Lightweight True In-Pixel Encryption with FeFET Enabled Pixel Design for Secure Imaging
by: Udoy, Md Rahatul Islam, et al.
Published: (2026)
by: Udoy, Md Rahatul Islam, et al.
Published: (2026)
XNN: Paradigm Shift in Mitigating Identity Leakage within Cloud-Enabled Deep Learning
by: Liu, Kaixin, et al.
Published: (2024)
by: Liu, Kaixin, et al.
Published: (2024)
CoLA: A Choice Leakage Attack Framework to Expose Privacy Risks in Subset Training
by: Li, Qi, et al.
Published: (2026)
by: Li, Qi, et al.
Published: (2026)
Combating Digitally Altered Images: Deepfake Detection
by: Kumar, Saksham, et al.
Published: (2025)
by: Kumar, Saksham, et al.
Published: (2025)
PEEL the Layers and Find Yourself: Revisiting Inference-time Data Leakage for Residual Neural Networks
by: Arif, Huzaifa, et al.
Published: (2025)
by: Arif, Huzaifa, 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)
Forensic Video Analytic Software
by: Ratnarajah, Anton Jeran, et al.
Published: (2023)
by: Ratnarajah, Anton Jeran, et al.
Published: (2023)
Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection
by: Liang, Ziyou, et al.
Published: (2024)
by: Liang, Ziyou, 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)
Is Artificial Intelligence Generated Image Detection a Solved Problem?
by: Li, Ziqiang, et al.
Published: (2025)
by: Li, Ziqiang, et al.
Published: (2025)
ICAS: Detecting Training Data from Autoregressive Image Generative Models
by: Yu, Hongyao, et al.
Published: (2025)
by: Yu, Hongyao, 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)
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)
MIRROR: Manifold Ideal Reference ReconstructOR for Generalizable AI-Generated Image Detection
by: Liu, Ruiqi, et al.
Published: (2026)
by: Liu, Ruiqi, et al.
Published: (2026)
Detection and Localization of Multiple Image Splicing Using MobileNet V1
by: Kadam, Kalyani, et al.
Published: (2021)
by: Kadam, Kalyani, et al.
Published: (2021)
Frequency Bias Matters: Diving into Robust and Generalized Deep Image Forgery Detection
by: Liu, Chi, et al.
Published: (2025)
by: Liu, Chi, et al.
Published: (2025)
SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation
by: Chung, Yunsung, et al.
Published: (2025)
by: Chung, Yunsung, et al.
Published: (2025)
Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation
by: Keita, Mamadou, et al.
Published: (2026)
by: Keita, Mamadou, et al.
Published: (2026)
CLIP-Flow: A Universal Discriminator for AI-Generated Images Inspired by Anomaly Detection
by: Yuan, Zhipeng, et al.
Published: (2025)
by: Yuan, Zhipeng, et al.
Published: (2025)
FastForensics: Efficient Two-Stream Design for Real-Time Image Manipulation Detection
by: Zhang, Yangxiang, et al.
Published: (2024)
by: Zhang, Yangxiang, et al.
Published: (2024)
From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection
by: Liang, Mengfei, et al.
Published: (2025)
by: Liang, Mengfei, et al.
Published: (2025)
Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation
by: Liu, Chi, et al.
Published: (2023)
by: Liu, Chi, et al.
Published: (2023)
DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images
by: Keita, Mamadou, et al.
Published: (2025)
by: Keita, Mamadou, et al.
Published: (2025)
Color Matters: Demosaicing-Guided Color Correlation Training for Generalizable AI-Generated Image Detection
by: Zhong, Nan, et al.
Published: (2026)
by: Zhong, Nan, et al.
Published: (2026)
Universal Anti-forensics Attack against Image Forgery Detection via Multi-modal Guidance
by: Li, Haipeng, et al.
Published: (2026)
by: Li, Haipeng, et al.
Published: (2026)
Are Neuro-Inspired Multi-Modal Vision-Language Models Resilient to Membership Inference Privacy Leakage?
by: Amebley, David, et al.
Published: (2025)
by: Amebley, David, et al.
Published: (2025)
Enhancing AUTOSAR-Based Firmware Over-the-Air Updates in the Automotive Industry with a Practical Implementation on a Steering System
by: Mostafa, Mostafa A., et al.
Published: (2025)
by: Mostafa, Mostafa A., et al.
Published: (2025)
VLSBench: Unveiling Visual Leakage in Multimodal Safety
by: Hu, Xuhao, et al.
Published: (2024)
by: Hu, Xuhao, et al.
Published: (2024)
Semantic Leakage from Image Embeddings
by: Chen, Yiyi, et al.
Published: (2026)
by: Chen, Yiyi, et al.
Published: (2026)
Scaling Exposes the Trigger: Input-Level Backdoor Detection in Text-to-Image Diffusion Models via Cross-Attention Scaling
by: Li, Zida, et al.
Published: (2026)
by: Li, Zida, et al.
Published: (2026)
Smart Railway Obstruction Detection System using IoT and Computer Vision
by: Kumar, Pravin, et al.
Published: (2026)
by: Kumar, Pravin, et al.
Published: (2026)
FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization
by: Iftee, Md Akil Raihan, et al.
Published: (2025)
by: Iftee, Md Akil Raihan, et al.
Published: (2025)
FreqCross: A Multi-Modal Frequency-Spatial Fusion Network for Robust Detection of Stable Diffusion 3.5 Generated Images
by: Yang, Guang
Published: (2025)
by: Yang, Guang
Published: (2025)
Differential Anomaly Detection for Facial Images
by: Ibsen, Mathias, et al.
Published: (2021)
by: Ibsen, Mathias, et al.
Published: (2021)
Similar Items
-
Data Leakage in Automotive Perception: Practitioners' Insights
by: Babu, Md Abu Ahammed, et al.
Published: (2026) -
Understanding the Changing Landscape of Automotive Software Vulnerabilities: Insights from a Seven-Year Analysis
by: Basu, Srijita, et al.
Published: (2025) -
Is Diffusion Model Safe? Severe Data Leakage via Gradient-Guided Diffusion Model
by: Meng, Jiayang, et al.
Published: (2024) -
Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation
by: Zhou, Yuxuan, et al.
Published: (2025) -
PhishSnap: Image-Based Phishing Detection Using Perceptual Hashing
by: Minhaz, Md Abdul Ahad, et al.
Published: (2025)