Saved in:
| Main Authors: | Meftah, Hanene F. Z. Brachemi, Hamidouche, Wassim, Fezza, Sid Ahmed, Déforges, Olivier, Kallas, Kassem |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.08152 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
VIP: Visual Information Protection through Adversarial Attacks on Vision-Language Models
by: Meftah, Hanene F. Z. Brachemi, et al.
Published: (2025)
by: Meftah, Hanene F. Z. Brachemi, et al.
Published: (2025)
Energy-Latency Attacks: A New Adversarial Threat to Deep Learning
by: Meftah, Hanene F. Z. Brachemi, et al.
Published: (2025)
by: Meftah, Hanene F. Z. Brachemi, et al.
Published: (2025)
NERV++: An Enhanced Implicit Neural Video Representation
by: Ghorbel, Ahmed, et al.
Published: (2024)
by: Ghorbel, Ahmed, et al.
Published: (2024)
Joint Hierarchical Priors and Adaptive Spatial Resolution for Efficient Neural Image Compression
by: Ghorbel, Ahmed, et al.
Published: (2023)
by: Ghorbel, Ahmed, et al.
Published: (2023)
Designing Object Detection Models for TinyML: Foundations, Comparative Analysis, Challenges, and Emerging Solutions
by: Zeinaty, Christophe EL, et al.
Published: (2025)
by: Zeinaty, Christophe EL, et al.
Published: (2025)
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)
FIDAVL: Fake Image Detection and Attribution using Vision-Language Model
by: Keita, Mamadou, et al.
Published: (2024)
by: Keita, Mamadou, et al.
Published: (2024)
Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks
by: Xue, Mingfu, et al.
Published: (2022)
by: Xue, Mingfu, et al.
Published: (2022)
Harnessing the Power of Large Vision Language Models for Synthetic Image Detection
by: Keita, Mamadou, et al.
Published: (2024)
by: Keita, Mamadou, et al.
Published: (2024)
RAVID: Retrieval-Augmented Visual Detection: A Knowledge-Driven Approach for AI-Generated Image Identification
by: Keita, Mamadou, et al.
Published: (2025)
by: Keita, Mamadou, et al.
Published: (2025)
Bi-LORA: A Vision-Language Approach for Synthetic Image Detection
by: Keita, Mamadou, et al.
Published: (2024)
by: Keita, Mamadou, et al.
Published: (2024)
Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios
by: Li, Ziqiang, et al.
Published: (2023)
by: Li, Ziqiang, et al.
Published: (2023)
DeepBaR: Fault Backdoor Attack on Deep Neural Network Layers
by: Martínez-Mejía, C. A., et al.
Published: (2024)
by: Martínez-Mejía, C. A., et al.
Published: (2024)
Memory Backdoor Attacks on Neural Networks
by: Luzon, Eden, et al.
Published: (2024)
by: Luzon, Eden, et al.
Published: (2024)
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)
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)
DarkHash: A Data-Free Backdoor Attack Against Deep Hashing
by: Zhou, Ziqi, et al.
Published: (2025)
by: Zhou, Ziqi, et al.
Published: (2025)
AS-FIBA: Adaptive Selective Frequency-Injection for Backdoor Attack on Deep Face Restoration
by: Song, Zhenbo, et al.
Published: (2024)
by: Song, Zhenbo, et al.
Published: (2024)
BackdoorVLM: A Benchmark for Backdoor Attacks on Vision-Language Models
by: Li, Juncheng, et al.
Published: (2025)
by: Li, Juncheng, et al.
Published: (2025)
Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World
by: Yin, Wen, et al.
Published: (2024)
by: Yin, Wen, et al.
Published: (2024)
Twin Trigger Generative Networks for Backdoor Attacks against Object Detection
by: Li, Zhiying, et al.
Published: (2024)
by: Li, Zhiying, et al.
Published: (2024)
Influencer Backdoor Attack on Semantic Segmentation
by: Lan, Haoheng, et al.
Published: (2023)
by: Lan, Haoheng, et al.
Published: (2023)
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor
by: Wei, Shaokui, et al.
Published: (2024)
by: Wei, Shaokui, et al.
Published: (2024)
Backdoor Poisoning Attack Against Face Spoofing Attack Detection Methods
by: Iwamatsu, Shota, et al.
Published: (2025)
by: Iwamatsu, Shota, et al.
Published: (2025)
Clean-image Backdoor Attacks
by: Rong, Dazhong, et al.
Published: (2024)
by: Rong, Dazhong, et al.
Published: (2024)
Backdoor Attacks against Image-to-Image Networks
by: Jiang, Wenbo, et al.
Published: (2024)
by: Jiang, Wenbo, et al.
Published: (2024)
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data
by: Abad, Gorka, et al.
Published: (2023)
by: Abad, Gorka, et al.
Published: (2023)
Invisible Backdoor Attack against Self-supervised Learning
by: Zhang, Hanrong, et al.
Published: (2024)
by: Zhang, Hanrong, et al.
Published: (2024)
Fisher Information guided Purification against Backdoor Attacks
by: Karim, Nazmul, et al.
Published: (2024)
by: Karim, Nazmul, et al.
Published: (2024)
Spy-Watermark: Robust Invisible Watermarking for Backdoor Attack
by: Wang, Ruofei, et al.
Published: (2024)
by: Wang, Ruofei, et al.
Published: (2024)
Convex Hull Prediction Methods for Bitrate Ladder Construction: Design, Evaluation, and Comparison
by: Telili, Ahmed, et al.
Published: (2023)
by: Telili, Ahmed, et al.
Published: (2023)
Backdoor Attacks on Deep Learning Face Detection
by: Roux, Quentin Le, et al.
Published: (2025)
by: Roux, Quentin Le, et al.
Published: (2025)
Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks
by: Hossain, Khondoker Murad, et al.
Published: (2024)
by: Hossain, Khondoker Murad, et al.
Published: (2024)
Universal Backdoor Attacks
by: Schneider, Benjamin, et al.
Published: (2023)
by: Schneider, Benjamin, et al.
Published: (2023)
SecureGaze: Defending Gaze Estimation Against Backdoor Attacks
by: Du, Lingyu, et al.
Published: (2025)
by: Du, Lingyu, et al.
Published: (2025)
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks
by: Niu, Zhenxing, et al.
Published: (2024)
by: Niu, Zhenxing, et al.
Published: (2024)
TrojVLM: Backdoor Attack Against Vision Language Models
by: Lyu, Weimin, et al.
Published: (2024)
by: Lyu, Weimin, et al.
Published: (2024)
Invisible Clean-Label Backdoor Attacks for Generative Data Augmentation
by: Xiang, Ting, et al.
Published: (2026)
by: Xiang, Ting, et al.
Published: (2026)
Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior
by: Yu, Yi, et al.
Published: (2024)
by: Yu, Yi, et al.
Published: (2024)
A Survey of Trojan Attacks and Defenses to Deep Neural Networks
by: Jin, Lingxin, et al.
Published: (2024)
by: Jin, Lingxin, et al.
Published: (2024)
Similar Items
-
VIP: Visual Information Protection through Adversarial Attacks on Vision-Language Models
by: Meftah, Hanene F. Z. Brachemi, et al.
Published: (2025) -
Energy-Latency Attacks: A New Adversarial Threat to Deep Learning
by: Meftah, Hanene F. Z. Brachemi, et al.
Published: (2025) -
NERV++: An Enhanced Implicit Neural Video Representation
by: Ghorbel, Ahmed, et al.
Published: (2024) -
Joint Hierarchical Priors and Adaptive Spatial Resolution for Efficient Neural Image Compression
by: Ghorbel, Ahmed, et al.
Published: (2023) -
Designing Object Detection Models for TinyML: Foundations, Comparative Analysis, Challenges, and Emerging Solutions
by: Zeinaty, Christophe EL, et al.
Published: (2025)