Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based on Diffusion Model for Object Detector

16 July 2023

Papers citing "Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based on Diffusion Model for Object Detector"

8 / 8 papers shown

Title
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG Roie Kazoom Raz Lapid Moshe Sipper Ofer Hadar VLM ObjD AAML 57 0 0 07 Apr 2025
UV-Attack: Physical-World Adversarial Attacks for Person Detection via Dynamic-NeRF-based UV Mapping Yanjie Li Wenxuan Zhang K. Liang Bin Xiao AAML 69 1 0 10 Jan 2025
DiffPatch: Generating Customizable Adversarial Patches using Diffusion Models Zhixiang Wang Guangnan Ye Xinyu Wang Siheng Chen Zhilin Wang Xingjun Ma Yu-Gang Jiang AAML DiffM 95 0 0 02 Dec 2024
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles Ranjie Duan Xingjun Ma Yisen Wang James Bailey •. A. K. Qin Yun Yang AAML 167 224 0 08 Mar 2020
On adversarial patches: real-world attack on ArcFace-100 face recognition system Mikhail Aleksandrovich Pautov Grigorii Melnikov Edgar Kaziakhmedov Klim Kireev Aleksandr Petiushko CVBM PICV AAML 35 53 0 15 Oct 2019
Universal Physical Camouflage Attacks on Object Detectors Lifeng Huang Chengying Gao Yuyin Zhou Cihang Xie Alan Yuille C. Zou Ning Liu AAML 140 160 0 10 Sep 2019
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen Cory Cornelius Jason Martin Duen Horng Chau ObjD 153 424 0 16 Apr 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016