MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Zheng, Zhao, Hongbo, Liu, Ju, Zhang, Qiaosheng, Geng, Liwei, Lyu, Shuchang, Feng, Wenquan |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Credibility of Backdoor Attacks Against Object Detectors in the Physical World
by: Doan, Bao Gia, et al.
Published: (2024)
by: Doan, Bao Gia, et al.
Published: (2024)
SwitchPatch: Physical Adversarial Attack Strategy with Switchable Adversarial Objectives
by: Jiang, Hanrui, et al.
Published: (2025)
by: Jiang, Hanrui, et al.
Published: (2025)
AdvART: Adversarial Art for Camouflaged Object Detection Attacks
by: Guesmi, Amira, et al.
Published: (2023)
by: Guesmi, Amira, et al.
Published: (2023)
Comprehensive Evaluation of Cloaking Backdoor Attacks on Object Detector in Real-World
by: Ma, Hua, et al.
Published: (2025)
by: Ma, Hua, et al.
Published: (2025)
Real-World Adversarial Attacks on RF-Based Drone Detectors
by: Gazit, Omer, et al.
Published: (2025)
by: Gazit, Omer, et al.
Published: (2025)
Defending Object Detectors against Patch Attacks with Out-of-Distribution Smoothing
by: Feng, Ryan, et al.
Published: (2022)
by: Feng, Ryan, et al.
Published: (2022)
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)
Explainability Guided Adversarial Evasion Attacks on Malware Detectors
by: Aryal, Kshitiz, et al.
Published: (2024)
by: Aryal, Kshitiz, et al.
Published: (2024)
I Don't Know You, But I Can Catch You: Real-Time Defense against Diverse Adversarial Patches for Object Detectors
by: Lin, Zijin, et al.
Published: (2024)
by: Lin, Zijin, et al.
Published: (2024)
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)
Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
by: Zhang, Hangsheng, et al.
Published: (2024)
by: Zhang, Hangsheng, 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)
Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks
by: Guesmi, Amira, et al.
Published: (2024)
by: Guesmi, Amira, et al.
Published: (2024)
Task-Agnostic Detector for Insertion-Based Backdoor Attacks
by: Lyu, Weimin, et al.
Published: (2024)
by: Lyu, Weimin, et al.
Published: (2024)
Rethinking Model Inversion Attacks With Patch-Wise Reconstruction
by: Jang, Jonggyu, et al.
Published: (2023)
by: Jang, Jonggyu, et al.
Published: (2023)
Attention Masks Help Adversarial Attacks to Bypass Safety Detectors
by: Shi, Yunfan
Published: (2024)
by: Shi, Yunfan
Published: (2024)
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization
by: Yang, Yulong, et al.
Published: (2023)
by: Yang, Yulong, et al.
Published: (2023)
ROAST: Risk-aware Outlier-exposure for Adversarial Selective Training of Anomaly Detectors Against Evasion Attacks
by: Elnawawy, Mohammed, et al.
Published: (2026)
by: Elnawawy, Mohammed, et al.
Published: (2026)
Adversarial Attacks on Transformers-Based Malware Detectors
by: Jakhotiya, Yash, et al.
Published: (2022)
by: Jakhotiya, Yash, et al.
Published: (2022)
LLM-Driven Feature-Level Adversarial Attacks on Android Malware Detectors
by: Lan, Tianwei, et al.
Published: (2025)
by: Lan, Tianwei, et al.
Published: (2025)
Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis
by: Gu, Wenwei, et al.
Published: (2025)
by: Gu, Wenwei, et al.
Published: (2025)
Adversarial Attack Based Countermeasures against Deep Learning Side-Channel Attacks
by: Gu, Ruizhe, et al.
Published: (2020)
by: Gu, Ruizhe, et al.
Published: (2020)
DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks
by: Zhu, Zhiyu, et al.
Published: (2024)
by: Zhu, Zhiyu, et al.
Published: (2024)
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
by: Pinhasov, Ben, et al.
Published: (2024)
by: Pinhasov, Ben, 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)
Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator
by: Martinez, Yago Romano, et al.
Published: (2025)
by: Martinez, Yago Romano, et al.
Published: (2025)
AutoPatch: Multi-Agent Framework for Patching Real-World CVE Vulnerabilities
by: Seo, Minjae, et al.
Published: (2025)
by: Seo, Minjae, et al.
Published: (2025)
Selective Masking Adversarial Attack on Automatic Speech Recognition Systems
by: Fang, Zheng, et al.
Published: (2025)
by: Fang, Zheng, et al.
Published: (2025)
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack
by: Jin, Zhibo, et al.
Published: (2024)
by: Jin, Zhibo, et al.
Published: (2024)
One-to-Multiple Clean-Label Image Camouflage (OmClic) based Backdoor Attack on Deep Learning
by: Wang, Guohong, et al.
Published: (2023)
by: Wang, Guohong, et al.
Published: (2023)
On the Robustness of Malware Detectors to Adversarial Samples
by: Salman, Muhammad, et al.
Published: (2024)
by: Salman, Muhammad, et al.
Published: (2024)
Agora: Trust Less and Open More in Verification for Confidential Computing
by: Chen, Hongbo, et al.
Published: (2024)
by: Chen, Hongbo, et al.
Published: (2024)
TRAP: Hijacking VLA CoT-Reasoning via Adversarial Patches
by: Huang, Zhengxian, et al.
Published: (2026)
by: Huang, Zhengxian, et al.
Published: (2026)
AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective
by: Wang, Xiaofei, et al.
Published: (2025)
by: Wang, Xiaofei, et al.
Published: (2025)
Towards More Realistic Extraction Attacks: An Adversarial Perspective
by: More, Yash, et al.
Published: (2024)
by: More, Yash, et al.
Published: (2024)
Invisible Adversaries: A Systematic Study of Session Manipulation Attacks on VPNs
by: Yang, Yuxiang, et al.
Published: (2026)
by: Yang, Yuxiang, et al.
Published: (2026)
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks
by: Zheng, Meixi, et al.
Published: (2023)
by: Zheng, Meixi, et al.
Published: (2023)
A Formal Analysis of SCTP: Attack Synthesis and Patch Verification
by: Ginesin, Jacob, et al.
Published: (2024)
by: Ginesin, Jacob, et al.
Published: (2024)
Rethinking Broken Object Level Authorization Attacks Under Zero Trust Principle
by: Wu, Anbin, et al.
Published: (2025)
by: Wu, Anbin, et al.
Published: (2025)
Explainability-Guided Adversarial Attacks on Transformer-Based Malware Detectors Using Control Flow Graphs
by: Wheeler, Andrew, et al.
Published: (2026)
by: Wheeler, Andrew, et al.
Published: (2026)
Similar Items
-
On the Credibility of Backdoor Attacks Against Object Detectors in the Physical World
by: Doan, Bao Gia, et al.
Published: (2024) -
SwitchPatch: Physical Adversarial Attack Strategy with Switchable Adversarial Objectives
by: Jiang, Hanrui, et al.
Published: (2025) -
AdvART: Adversarial Art for Camouflaged Object Detection Attacks
by: Guesmi, Amira, et al.
Published: (2023) -
Comprehensive Evaluation of Cloaking Backdoor Attacks on Object Detector in Real-World
by: Ma, Hua, et al.
Published: (2025) -
Real-World Adversarial Attacks on RF-Based Drone Detectors
by: Gazit, Omer, et al.
Published: (2025)