Saved in:
| Main Authors: | Winter, Alexis, Martini, Jean-Vincent, Audigier, Romaric, Loesch, Angelique, Luvison, Bertrand |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.16494 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
WarNav: An Autonomous Driving Benchmark for Segmentation of Navigable Zones in War Scenes
by: Graviers, Marc-Emmanuel Coupvent des, et al.
Published: (2025)
by: Graviers, Marc-Emmanuel Coupvent des, et al.
Published: (2025)
Open-set object detection: towards unified problem formulation and benchmarking
by: Ammar, Hejer, et al.
Published: (2024)
by: Ammar, Hejer, et al.
Published: (2024)
Improving Controllable Generation: Faster Training and Better Performance via $x_0$-Supervision
by: Sangare, Amadou S., et al.
Published: (2026)
by: Sangare, Amadou S., et al.
Published: (2026)
Robust Alignment: Harmonizing Clean Accuracy and Adversarial Robustness in Adversarial Training
by: Wang, Yanyun, et al.
Published: (2026)
by: Wang, Yanyun, et al.
Published: (2026)
CaMiT: A Time-Aware Car Model Dataset for Classification and Generation
by: LIN, Frédéric, et al.
Published: (2025)
by: LIN, Frédéric, et al.
Published: (2025)
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection
by: Lu, Xiaohu, et al.
Published: (2023)
by: Lu, Xiaohu, et al.
Published: (2023)
Reliable and Reproducible Demographic Inference for Fairness in Face Analysis
by: Fournier-Montgieux, Alexandre, et al.
Published: (2025)
by: Fournier-Montgieux, Alexandre, et al.
Published: (2025)
BEARD: Benchmarking the Adversarial Robustness for Dataset Distillation
by: Zhou, Zheng, et al.
Published: (2024)
by: Zhou, Zheng, et al.
Published: (2024)
On the Adversarial Robustness of Camera-based 3D Object Detection
by: Xie, Shaoyuan, et al.
Published: (2023)
by: Xie, Shaoyuan, et al.
Published: (2023)
Enhancing Robustness in Incremental Learning with Adversarial Training
by: Cho, Seungju, et al.
Published: (2023)
by: Cho, Seungju, et al.
Published: (2023)
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation
by: Wu, Yifan, et al.
Published: (2024)
by: Wu, Yifan, et al.
Published: (2024)
3D-COCO: extension of MS-COCO dataset for image detection and 3D reconstruction modules
by: Bideaux, Maxence, et al.
Published: (2024)
by: Bideaux, Maxence, et al.
Published: (2024)
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training
by: Dong, Junhao, et al.
Published: (2024)
by: Dong, Junhao, et al.
Published: (2024)
Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks
by: Huang, Huiqun, et al.
Published: (2025)
by: Huang, Huiqun, et al.
Published: (2025)
ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection
by: Aubard, Martin, et al.
Published: (2024)
by: Aubard, Martin, et al.
Published: (2024)
A Survey and Evaluation of Adversarial Attacks for Object Detection
by: Nguyen, Khoi Nguyen Tiet, et al.
Published: (2024)
by: Nguyen, Khoi Nguyen Tiet, et al.
Published: (2024)
Adversarial Attention Perturbations for Large Object Detection Transformers
by: Yahn, Zachary, et al.
Published: (2025)
by: Yahn, Zachary, et al.
Published: (2025)
Fairer Analysis and Demographically Balanced Face Generation for Fairer Face Verification
by: Fournier-Montgieux, Alexandre, et al.
Published: (2024)
by: Fournier-Montgieux, Alexandre, et al.
Published: (2024)
Toward Fairer Face Recognition Datasets
by: Fournier-Montgieux, Alexandre, et al.
Published: (2024)
by: Fournier-Montgieux, Alexandre, et al.
Published: (2024)
Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks
by: Liu, Zhenyu, et al.
Published: (2024)
by: Liu, Zhenyu, et al.
Published: (2024)
Enhancing Object Detection Robustness: Detecting and Restoring Confidence in the Presence of Adversarial Patch Attacks
by: Kazoom, Roie, et al.
Published: (2024)
by: Kazoom, Roie, et al.
Published: (2024)
Erosion Attack for Adversarial Training to Enhance Semantic Segmentation Robustness
by: Song, Yufei, et al.
Published: (2026)
by: Song, Yufei, et al.
Published: (2026)
TrackPGD: Efficient Adversarial Attack using Object Binary Masks against Robust Transformer Trackers
by: Nokabadi, Fatemeh Nourilenjan, et al.
Published: (2024)
by: Nokabadi, Fatemeh Nourilenjan, et al.
Published: (2024)
Compositional Adversarial Training for Robust Visual Watermarking
by: Satheesh, Anirudh, et al.
Published: (2026)
by: Satheesh, Anirudh, et al.
Published: (2026)
Structured Universal Adversarial Attacks on Object Detection for Video Sequences
by: Jacob, Sven, et al.
Published: (2025)
by: Jacob, Sven, et al.
Published: (2025)
Adversarial Attacked Teacher for Unsupervised Domain Adaptive Object Detection
by: Wang, Kaiwen, et al.
Published: (2024)
by: Wang, Kaiwen, et al.
Published: (2024)
Evaluating the Adversarial Robustness of Detection Transformers
by: Nazeri, Amirhossein, et al.
Published: (2024)
by: Nazeri, Amirhossein, et al.
Published: (2024)
Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness
by: Piras, Giorgio, et al.
Published: (2024)
by: Piras, Giorgio, et al.
Published: (2024)
Knowledge-Guided Adversarial Training for Infrared Object Detection via Thermal Radiation Modeling
by: Zhao, Shiji, et al.
Published: (2026)
by: Zhao, Shiji, et al.
Published: (2026)
The Unseen Adversaries: Robust and Generalized Defense Against Adversarial Patches
by: Kumar, Vishesh, et al.
Published: (2026)
by: Kumar, Vishesh, et al.
Published: (2026)
Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-adaptive Attacks
by: Wang, Chong, et al.
Published: (2024)
by: Wang, Chong, et al.
Published: (2024)
Salient Information Preserving Adversarial Training Improves Clean and Robust Accuracy
by: Redgrave, Timothy, et al.
Published: (2025)
by: Redgrave, Timothy, et al.
Published: (2025)
Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology
by: Malik, Hashmat Shadab, et al.
Published: (2025)
by: Malik, Hashmat Shadab, et al.
Published: (2025)
Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning
by: Khan, Sarwar
Published: (2024)
by: Khan, Sarwar
Published: (2024)
Revisiting Adversarial Training at Scale
by: Wang, Zeyu, et al.
Published: (2024)
by: Wang, Zeyu, et al.
Published: (2024)
DisPatch: Disarming Adversarial Patches in Object Detection with Diffusion Models
by: Ma, Jin, et al.
Published: (2025)
by: Ma, Jin, et al.
Published: (2025)
Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers
by: Nokabadi, Fatemeh Nourilenjan, et al.
Published: (2024)
by: Nokabadi, Fatemeh Nourilenjan, et al.
Published: (2024)
Narrowing Class-Wise Robustness Gaps in Adversarial Training
by: Amerehi, Fatemeh, et al.
Published: (2025)
by: Amerehi, Fatemeh, et al.
Published: (2025)
Parameter Interpolation Adversarial Training for Robust Image Classification
by: Liu, Xin, et al.
Published: (2025)
by: Liu, Xin, et al.
Published: (2025)
Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks
by: Haoxuan, Sun, et al.
Published: (2025)
by: Haoxuan, Sun, et al.
Published: (2025)
Similar Items
-
WarNav: An Autonomous Driving Benchmark for Segmentation of Navigable Zones in War Scenes
by: Graviers, Marc-Emmanuel Coupvent des, et al.
Published: (2025) -
Open-set object detection: towards unified problem formulation and benchmarking
by: Ammar, Hejer, et al.
Published: (2024) -
Improving Controllable Generation: Faster Training and Better Performance via $x_0$-Supervision
by: Sangare, Amadou S., et al.
Published: (2026) -
Robust Alignment: Harmonizing Clean Accuracy and Adversarial Robustness in Adversarial Training
by: Wang, Yanyun, et al.
Published: (2026) -
CaMiT: A Time-Aware Car Model Dataset for Classification and Generation
by: LIN, Frédéric, et al.
Published: (2025)