Cover Image

D2R: dual regularization loss with collaborative adversarial generation for model robustness

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Zhenyu, Liang, Huizhi, Ranjan, Rajiv, Zhu, Zhanxing, Snasel, Vaclav, Ojha, Varun
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AdaGAT: Adaptive Guidance Adversarial Training for the Robustness of Deep Neural Networks
by: Liu, Zhenyu, et al.
Published: (2025)

Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks
by: Liu, Zhenyu, et al.
Published: (2024)

Deepfake detectors are DUMB: A benchmark to assess adversarial training robustness under transferability constraints
by: Serrano, Adrian, et al.
Published: (2026)

Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness
by: Ballarin, Emanuele, et al.
Published: (2023)

Systematic Characterization of Minimal Deep Learning Architectures: A Unified Analysis of Convergence, Pruning, and Quantization
by: Zheng, Ziwei, et al.
Published: (2026)

On Learnable Parameters of Optimal and Suboptimal Deep Learning Models
by: Zheng, Ziwei, et al.
Published: (2024)

Security Assessment of Hierarchical Federated Deep Learning
by: Alqattan, D, et al.
Published: (2024)

Deep Learning-Assisted Detection of Sarcopenia in Cross-Sectional Computed Tomography Imaging
by: Bhardwaj, Manish, et al.
Published: (2025)

Trainwreck: A damaging adversarial attack on image classifiers
by: Zahálka, Jan
Published: (2023)

Robust width: A lightweight and certifiable adversarial defense
by: Peck, Jonathan, et al.
Published: (2024)

Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation
by: Liu, Chi, et al.
Published: (2023)

Use of triplet loss for facial restoration in low-resolution images
by: Pulgar, Sebastian, et al.
Published: (2024)

Bypassing LLM Watermarks with Color-Aware Substitutions
by: Wu, Qilong, et al.
Published: (2024)

Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks
by: Diao, Yunfeng, et al.
Published: (2024)

Secure and Robust Watermarking for AI-generated Images: A Comprehensive Survey
by: Cao, Jie, et al.
Published: (2025)

GuardSplat: Efficient and Robust Watermarking for 3D Gaussian Splatting
by: Chen, Zixuan, et al.
Published: (2024)

Gradient-based facial encoding for key generation to encrypt and decrypt multimedia data
by: Patel, Ankit Kumar, et al.
Published: (2024)

State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems
by: Fang, Junbin, et al.
Published: (2023)

Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
by: Cheng, Zhiyuan, et al.
Published: (2023)

Evading Data Provenance in Deep Neural Networks
by: Zhu, Hongyu, et al.
Published: (2025)

Revisiting Data Auditing in Large Vision-Language Models
by: Zhu, Hongyu, et al.
Published: (2025)

NeR-VCP: A Video Content Protection Method Based on Implicit Neural Representation
by: Lin, Yangping, et al.
Published: (2024)

3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition
by: Huang, Yuanmin, et al.
Published: (2025)

Hypersphere Secure Sketch Revisited: Probabilistic Linear Regression Attack on IronMask in Multiple Usage
by: Zhu, Pengxu, et al.
Published: (2024)

Gaussian Shannon: High-Precision Diffusion Model Watermarking Based on Communication
by: Zhang, Yi, et al.
Published: (2026)

R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning
by: Sheng, Lijun, et al.
Published: (2025)

Privacy-Preserving Federated Vision Transformer Learning Leveraging Lightweight Homomorphic Encryption in Medical AI
by: Amin, Al, et al.
Published: (2025)

We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature
by: Li, Jiachun, et al.
Published: (2021)

AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach
by: Amin, Al, et al.
Published: (2025)

On the Generation and Mitigation of Harmful Geometry in Image-to-3D Models
by: Liu, Yule, et al.
Published: (2026)

Adversarial 3D Virtual Patches using Integrated Gradients
by: You, Chengzeng, et al.
Published: (2024)

Progressive Feedback-Enhanced Transformer for Image Forgery Localization
by: Zhu, Haochen, et al.
Published: (2023)

Segmentation-free Connectionist Temporal Classification loss based OCR Model for Text Captcha Classification
by: Khatavkar, Vaibhav, et al.
Published: (2024)

A Random Ensemble of Encrypted models for Enhancing Robustness against Adversarial Examples
by: Iijima, Ryota, et al.
Published: (2024)

Robust Anti-Backdoor Instruction Tuning in LVLMs
by: Xun, Yuan, et al.
Published: (2025)

PASTA: A Patch-Agnostic Twofold-Stealthy Backdoor Attack on Vision Transformers
by: Liu, Dazhuang, et al.
Published: (2026)

From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection
by: Liang, Mengfei, et al.
Published: (2025)

Intellectual Property Protection for 3D Gaussian Splatting Assets: A Survey
by: Zhao, Longjie, et al.
Published: (2026)

Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving
by: Zheng, Junhao, et al.
Published: (2024)

iBA: Backdoor Attack on 3D Point Cloud via Reconstructing Itself
by: Bian, Yuhao, et al.
Published: (2024)