Cover Image

CertMask: Certifiable Defense Against Adversarial Patches via Theoretically Optimal Mask Coverage

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lyu, Xuntao, Lin, Ching-Chi, Arafat, Abdullah Al, von der Brüggen, Georg, Chen, Jian-Jia, Guo, Zhishan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Concept-Based Masking: A Patch-Agnostic Defense Against Adversarial Patch Attacks
by: Mehrotra, Ayushi, et al.
Published: (2025)

Cert-SSBD: Certified Backdoor Defense with Sample-Specific Smoothing Noises
by: Qiao, Ting, et al.
Published: (2025)

MaskPure: Improving Defense Against Text Adversaries with Stochastic Purification
by: Gietz, Harrison, et al.
Published: (2024)

Defensive Dual Masking for Robust Adversarial Defense
by: Yang, Wangli, et al.
Published: (2024)

PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices
by: Chattopadhyay, Nandish, et al.
Published: (2026)

ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches
by: Chattopadhyay, Nandish, et al.
Published: (2023)

Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder
by: Sun, Tao, et al.
Published: (2023)

The Unseen Adversaries: Robust and Generalized Defense Against Adversarial Patches
by: Kumar, Vishesh, et al.
Published: (2026)

RobustMask: Certified Robustness against Adversarial Neural Ranking Attack via Randomized Masking
by: Liu, Jiawei, et al.
Published: (2025)

PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses
by: Xiang, Chong, et al.
Published: (2023)

BlockCert: Certified Blockwise Extraction of Transformer Mechanisms
by: Andric, Sandro
Published: (2025)

GeoCert: Certified Geometric AI for Reliable Forecasting
by: Zhang, Regina, et al.
Published: (2026)

PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches
by: Jacob, Dennis, et al.
Published: (2025)

Augmented Neural Fine-Tuning for Efficient Backdoor Purification
by: Karim, Nazmul, et al.
Published: (2024)

AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles
by: Salek, M Sabbir, et al.
Published: (2023)

Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor
by: Miah, Abdullah Arafat, et al.
Published: (2024)

Fisher Information guided Purification against Backdoor Attacks
by: Karim, Nazmul, et al.
Published: (2024)

Filtered-ViT: A Robust Defense Against Multiple Adversarial Patch Attacks
by: Khanal, Aja, et al.
Published: (2025)

ShadowMaskFormer: Mask Augmented Patch Embeddings for Shadow Removal
by: Li, Zhuohao, et al.
Published: (2024)

Lite-BD: A Lightweight Black-box Backdoor Defense via Reviving Multi-Stage Image Transformations
by: Miah, Abdullah Arafat, et al.
Published: (2026)

CertDW: Towards Certified Dataset Ownership Verification via Conformal Prediction
by: Qiao, Ting, et al.
Published: (2025)

Explainability-Guided Defense: Attribution-Aware Model Refinement Against Adversarial Data Attacks
by: Wang, Longwei, et al.
Published: (2026)

Rethinking Patch Dependence for Masked Autoencoders
by: Fu, Letian, et al.
Published: (2024)

VocalCrypt: Novel Active Defense Against Deepfake Voice Based on Masking Effect
by: Fei, Qingyuan, et al.
Published: (2025)

MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs
by: Lorenz, Tobias, et al.
Published: (2024)

Dawn of the Dead(line Misses): Impact of Job Dismiss on the Deadline Miss Rate
by: Chen, Jian-Jia, et al.
Published: (2024)

PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
by: Jing, Lihua, et al.
Published: (2024)

IRHMapNet Radargram and Mask Patches Dataset.
by: Moqadam, Hameed, et al.
Published: (2024)

MADE: Graph Backdoor Defense with Masked Unlearning
by: Lin, Xiao, et al.
Published: (2024)

Training-Free Defense Against Adversarial Attacks in Deep Learning MRI Reconstruction
by: Saberi, Mahdi, et al.
Published: (2025)

PECAN: A Deterministic Certified Defense Against Backdoor Attacks
by: Zhang, Yuhao, et al.
Published: (2023)

Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging
by: Luo, Rui, et al.
Published: (2024)

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
by: Liu, Chuang, et al.
Published: (2024)

Why Representation Engineering Works: A Theoretical and Empirical Study in Vision-Language Models
by: Tian, Bowei, et al.
Published: (2025)

Patch-enhanced Mask Encoder Prompt Image Generation
by: Xu, Shusong, et al.
Published: (2024)

Model Agnostic Defense against Adversarial Patch Attacks on Object Detection in Unmanned Aerial Vehicles
by: Pathak, Saurabh, et al.
Published: (2024)

Regret-Optimal Defense Against Stealthy Adversaries: A System Level Approach
by: Tsukamoto, Hiroyasu, et al.
Published: (2024)

Noise Masking Attacks and Defenses for Pretrained Speech Models
by: Jagielski, Matthew, et al.
Published: (2024)

WCDT: Systematic WCET Optimization for Decision Tree Implementations
by: Hölscher, Nils, et al.
Published: (2025)

A Real-Time Defense Against Object Vanishing Adversarial Patch Attacks for Object Detection in Autonomous Vehicles
by: Mu, Jaden
Published: (2024)