Adversarial 3D Virtual Patches using Integrated Gradients
Fuente:
arXiv
Saved in:
| Main Authors: | You, Chengzeng, Hau, Zhongyuan, Xu, Binbin, Demetriou, Soteris |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TPatch: A Triggered Physical Adversarial Patch
by: Zhu, Wenjun, et al.
Published: (2023)
by: Zhu, Wenjun, et al.
Published: (2023)
TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks
by: Guesmi, Amira, et al.
Published: (2025)
by: Guesmi, Amira, et al.
Published: (2025)
PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses
by: Xiang, Chong, et al.
Published: (2023)
by: Xiang, Chong, et al.
Published: (2023)
DiDOTS: Knowledge Distillation from Large-Language-Models for Dementia Obfuscation in Transcribed Speech
by: Woszczyk, Dominika, et al.
Published: (2024)
by: Woszczyk, Dominika, et al.
Published: (2024)
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
by: Chattopadhyay, Nandish, et al.
Published: (2024)
by: Chattopadhyay, Nandish, et al.
Published: (2024)
BB-Patch: BlackBox Adversarial Patch-Attack using Zeroth-Order Optimization
by: Kumar, Satyadwyoom, et al.
Published: (2024)
by: Kumar, Satyadwyoom, et al.
Published: (2024)
Towards Physically Realizable Adversarial Attenuation Patch against SAR Object Detection
by: Zhang, Yiming, et al.
Published: (2026)
by: Zhang, Yiming, et al.
Published: (2026)
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches
by: Chattopadhyay, Nandish, et al.
Published: (2023)
by: Chattopadhyay, Nandish, et al.
Published: (2023)
Improving Adversarial Transferability with Neighbourhood Gradient Information
by: Guo, Haijing, et al.
Published: (2024)
by: Guo, Haijing, et al.
Published: (2024)
We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature
by: Li, Jiachun, et al.
Published: (2021)
by: Li, Jiachun, et al.
Published: (2021)
MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World
by: Zhou, Zheng, et al.
Published: (2023)
by: Zhou, Zheng, et al.
Published: (2023)
Adversarial Training against Location-Optimized Adversarial Patches
by: Rao, Sukrut, et al.
Published: (2020)
by: Rao, Sukrut, et al.
Published: (2020)
Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path
by: Ren, Yuchen, et al.
Published: (2024)
by: Ren, Yuchen, et al.
Published: (2024)
Benchmarking Adversarial Patch Selection and Location
by: Kimhi, Shai, et al.
Published: (2025)
by: Kimhi, Shai, et al.
Published: (2025)
Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights
by: Zheng, Junhao, et al.
Published: (2025)
by: Zheng, Junhao, et al.
Published: (2025)
SAP-DIFF: Semantic Adversarial Patch Generation for Black-Box Face Recognition Models via Diffusion Models
by: Wang, Mingsi, et al.
Published: (2025)
by: Wang, Mingsi, et al.
Published: (2025)
PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches
by: Jacob, Dennis, et al.
Published: (2025)
by: Jacob, Dennis, et al.
Published: (2025)
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
by: Pintor, Maura, et al.
Published: (2022)
by: Pintor, Maura, et al.
Published: (2022)
Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving
by: Zheng, Junhao, et al.
Published: (2024)
by: Zheng, Junhao, et al.
Published: (2024)
3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition
by: Huang, Yuanmin, et al.
Published: (2025)
by: Huang, Yuanmin, et al.
Published: (2025)
Enhancing Remote Adversarial Patch Attacks on Face Detectors with Tiling and Scaling
by: Okano, Masora, et al.
Published: (2024)
by: Okano, Masora, et al.
Published: (2024)
CAAP: Capture-Aware Adversarial Patch Attacks on Palmprint Recognition Models
by: Liu, Renyang, et al.
Published: (2026)
by: Liu, Renyang, et al.
Published: (2026)
Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores
by: Na, Hyunsik, et al.
Published: (2025)
by: Na, Hyunsik, et al.
Published: (2025)
Physical Evaluation of Naturalistic Adversarial Patches for Camera-Based Traffic-Sign Detection
by: D'Urso, Brianna, et al.
Published: (2026)
by: D'Urso, Brianna, et al.
Published: (2026)
Struggle with Adversarial Defense? Try Diffusion
by: Li, Yujie, et al.
Published: (2024)
by: Li, Yujie, et al.
Published: (2024)
Boosting Adversarial Transferability with Spatial Adversarial Alignment
by: Chen, Zhaoyu, et al.
Published: (2025)
by: Chen, Zhaoyu, et al.
Published: (2025)
Adversarial Universal Stickers: Universal Perturbation Attacks on Traffic Sign using Stickers
by: Etim, Anthony, et al.
Published: (2025)
by: Etim, Anthony, et al.
Published: (2025)
PatchPoison: Poisoning Multi-View Datasets to Degrade 3D Reconstruction
by: Wadekar, Prajas, et al.
Published: (2026)
by: Wadekar, Prajas, et al.
Published: (2026)
Adversarial Attacks of Vision Tasks in the Past 10 Years: A Survey
by: Zhang, Chiyu, et al.
Published: (2024)
by: Zhang, Chiyu, et al.
Published: (2024)
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
GradID: Adversarial Detection via Intrinsic Dimensionality of Gradients
by: Razmjoo, Mohammad Mahdi, et al.
Published: (2025)
by: Razmjoo, Mohammad Mahdi, et al.
Published: (2025)
PASTA: A Patch-Agnostic Twofold-Stealthy Backdoor Attack on Vision Transformers
by: Liu, Dazhuang, et al.
Published: (2026)
by: Liu, Dazhuang, et al.
Published: (2026)
Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation
by: Du, Xia, et al.
Published: (2025)
by: Du, Xia, et al.
Published: (2025)
Patronus: Safeguarding Text-to-Image Models against White-Box Adversaries
by: Li, Xinfeng, et al.
Published: (2025)
by: Li, Xinfeng, et al.
Published: (2025)
Trapped by Their Own Light: Deployable and Stealth Retroreflective Patch Attacks on Traffic Sign Recognition Systems
by: Tsuruoka, Go, et al.
Published: (2025)
by: Tsuruoka, Go, et al.
Published: (2025)
Stealthy Multi-Task Adversarial Attacks
by: Guo, Jiacheng, et al.
Published: (2024)
by: Guo, Jiacheng, et al.
Published: (2024)
Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective
by: Wang, Ningfei, et al.
Published: (2024)
by: Wang, Ningfei, et al.
Published: (2024)
Hidden Tail: Adversarial Image Causing Stealthy Resource Consumption in Vision-Language Models
by: Zhang, Rui, et al.
Published: (2025)
by: Zhang, Rui, et al.
Published: (2025)
RoMA: Robust Malware Attribution via Byte-level Adversarial Training with Global Perturbations and Adversarial Consistency Regularization
by: Sun, Yuxia, et al.
Published: (2025)
by: Sun, Yuxia, et al.
Published: (2025)
$σ$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
Similar Items
-
TPatch: A Triggered Physical Adversarial Patch
by: Zhu, Wenjun, et al.
Published: (2023) -
TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks
by: Guesmi, Amira, et al.
Published: (2025) -
PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses
by: Xiang, Chong, et al.
Published: (2023) -
DiDOTS: Knowledge Distillation from Large-Language-Models for Dementia Obfuscation in Transcribed Speech
by: Woszczyk, Dominika, et al.
Published: (2024) -
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
by: Chattopadhyay, Nandish, et al.
Published: (2024)