Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Junhao, Sun, Jiahao, Lin, Chenhao, Zhao, Zhengyu, Ma, Chen, Zhang, Chong, Wang, Cong, Wang, Qian, Shen, Chao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Prediction Inconsistency Helps Achieve Generalizable Detection of Adversarial Examples
by: Han, Sicong, et al.
Published: (2025)
by: Han, Sicong, et al.
Published: (2025)
Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights
by: Zhao, Zhengyu, et al.
Published: (2023)
by: Zhao, Zhengyu, et al.
Published: (2023)
Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data
by: Song, Tianle, et al.
Published: (2025)
by: Song, Tianle, et al.
Published: (2025)
Revisiting Training-Inference Trigger Intensity in Backdoor Attacks
by: Lin, Chenhao, et al.
Published: (2025)
by: Lin, Chenhao, et al.
Published: (2025)
A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations
by: Yang, Yulong, et al.
Published: (2024)
by: Yang, Yulong, et al.
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)
Systematic Categorization, Construction and Evaluation of New Attacks against Multi-modal Mobile GUI Agents
by: Yang, Yulong, et al.
Published: (2024)
by: Yang, Yulong, 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)
Dynamic Dual-level Defense Routing for Continual Adversarial Training
by: Wang, Wenxuan, et al.
Published: (2025)
by: Wang, Wenxuan, et al.
Published: (2025)
Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models
by: Liu, Yugeng, et al.
Published: (2023)
by: Liu, Yugeng, et al.
Published: (2023)
LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection
by: Tian, Jiwei, et al.
Published: (2024)
by: Tian, Jiwei, et al.
Published: (2024)
ExplainableGuard: Interpretable Adversarial Defense for Large Language Models Using Chain-of-Thought Reasoning
by: Guan, Shaowei, et al.
Published: (2025)
by: Guan, Shaowei, 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)
Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems
by: Chen, Cheng, et al.
Published: (2025)
by: Chen, Cheng, et al.
Published: (2025)
Jailbreaking LLMs & VLMs: Mechanisms, Evaluation, and Unified Defense
by: Chen, Zejian, et al.
Published: (2026)
by: Chen, Zejian, et al.
Published: (2026)
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)
Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement
by: Ren, Yuchen, et al.
Published: (2025)
by: Ren, Yuchen, et al.
Published: (2025)
Pruning Graphs by Adversarial Robustness Evaluation to Strengthen GNN Defenses
by: Wang, Yongyu
Published: (2025)
by: Wang, Yongyu
Published: (2025)
CAVGAN: Unifying Jailbreak and Defense of LLMs via Generative Adversarial Attacks on their Internal Representations
by: Li, Xiaohu, et al.
Published: (2025)
by: Li, Xiaohu, 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)
A Large-Scale Evolvable Dataset for Model Context Protocol Ecosystem and Security Analysis
by: Lin, Zhiwei, et al.
Published: (2025)
by: Lin, Zhiwei, et al.
Published: (2025)
Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks
by: Xiong, Chen, et al.
Published: (2024)
by: Xiong, Chen, et al.
Published: (2024)
Generalizable Targeted Data Poisoning against Varying Physical Objects
by: Chen, Zhizhen, et al.
Published: (2024)
by: Chen, Zhizhen, et al.
Published: (2024)
Auditing M-LLMs for Privacy Risks: A Synthetic Benchmark and Evaluation Framework
by: Li, Junhao, et al.
Published: (2025)
by: Li, Junhao, et al.
Published: (2025)
Minimal Cascade Gradient Smoothing for Fast Transferable Preemptive Adversarial Defense
by: Wang, Hanrui, et al.
Published: (2024)
by: Wang, Hanrui, et al.
Published: (2024)
Non-control-Data Attacks and Defenses: A review
by: Chong, Lei
Published: (2025)
by: Chong, Lei
Published: (2025)
Defenses at Odds: Measuring and Explaining Defense Conflicts in Large Language Models
by: Meng, Xiangtao, et al.
Published: (2026)
by: Meng, Xiangtao, et al.
Published: (2026)
Tit-for-Tat: Safeguarding Large Vision-Language Models Against Jailbreak Attacks via Adversarial Defense
by: Hao, Shuyang, et al.
Published: (2025)
by: Hao, Shuyang, et al.
Published: (2025)
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)
Diffusion-Guided Adversarial Perturbation Injection for Generalizable Defense Against Facial Manipulations
by: Li, Yue, et al.
Published: (2026)
by: Li, Yue, et al.
Published: (2026)
AEIOU: A Unified Defense Framework against NSFW Prompts in Text-to-Image Models
by: Wang, Yiming, et al.
Published: (2024)
by: Wang, Yiming, et al.
Published: (2024)
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)
SwitchPatch: Physical Adversarial Attack Strategy with Switchable Adversarial Objectives
by: Jiang, Hanrui, et al.
Published: (2025)
by: Jiang, Hanrui, et al.
Published: (2025)
Towards Physically Realizable Adversarial Attenuation Patch against SAR Object Detection
by: Zhang, Yiming, et al.
Published: (2026)
by: Zhang, Yiming, et al.
Published: (2026)
Continual Adversarial Defense
by: Wang, Qian, et al.
Published: (2023)
by: Wang, Qian, et al.
Published: (2023)
Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations
by: Alghuried, Ahod, et al.
Published: (2025)
by: Alghuried, Ahod, et al.
Published: (2025)
PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices
by: Chattopadhyay, Nandish, et al.
Published: (2026)
by: Chattopadhyay, Nandish, et al.
Published: (2026)
Crypto-Ransomware and Their Defenses: In-depth Behavioral Characterization, Discussion of Deployability, and New Insights
by: Song, Wenjia, et al.
Published: (2023)
by: Song, Wenjia, et al.
Published: (2023)
IDEA: Invariant Defense for Graph Adversarial Robustness
by: Tao, Shuchang, et al.
Published: (2023)
by: Tao, Shuchang, et al.
Published: (2023)
Similar Items
-
Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving
by: Zheng, Junhao, et al.
Published: (2024) -
Prediction Inconsistency Helps Achieve Generalizable Detection of Adversarial Examples
by: Han, Sicong, et al.
Published: (2025) -
Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights
by: Zhao, Zhengyu, et al.
Published: (2023) -
Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data
by: Song, Tianle, et al.
Published: (2025) -
Revisiting Training-Inference Trigger Intensity in Backdoor Attacks
by: Lin, Chenhao, et al.
Published: (2025)