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A Paperlist of Adversarial Attack on Object Detection

Surveys

  • [2021 IEEE Transactions on Industrial Informatics] Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses, PDF, Survey
  • [2019 International Journal of Computer Vision] Deep Learning for Generic Object Detection: A Survey, PDF, Survey
  • [2021 ArXiv] Adversarial Example Detection for DNN Models: A Review and Experimental Comparison, PDF, Review
  • [2018 IEEE Access] Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey, PDF, Survey

Planar Patches Attack

  • [2021 Information Sciences]Towards a physical-world adversarial patch for blinding object detection models, PDF, physical

  • [2020 arxiv] Dynamic Adversarial Patch for Evading Object Detection, PDF , physical

  • [2020 arxiv] object hider: adversarial patch attack against object detectors, PDF, physicals

  • [2020 TPS-ISA] Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems, PDF, Talk, Source code, digital & physicals

  • [2020 In European Symposium on Research in Computer Security] Understanding Object Detection Through an Adversarial Lens. [PDF], [Talk] Source code, digital & physicals

  • [2021 arxiv] RPAttack: Refined Patch Attack on General Object Detectors, PDF, digital

  • [2019 CVPRworkshop] Fooling automated surveillance cameras: adversarial patches to attack person detection PDF, Source code, physicals

  • [2019 AAAI] DPatch: An Adversarial patch attack on object detectors, PDF, Source code physicals

  • [2019 ICMLworkshop]On physical adversarial patches for object detectionPDF, physicals

  • [2019 ACM CCS] Seeing isn’t Believing: Towards More Robust Adversarial Attack Against RealWorld Object Detectors, PDF, physicals

  • [2019 IJCAI] Transferable Adversarial Attacks for Image and Video Object Detection, PDF, Source code, physicals

  • [2018 WOOT] Physical Adversarial Examples for Object Detectors, PDF., physicals

Pixel-wise Attack

  • [2023 WACV] Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors, PDF, digital

  • [2022 IEEE TRANSACTIONS ON CYBERNETICS] Daedalus: Breaking Nonmaximum Suppression in Object Detection via Adversarial Examples, PDF, digital & physical

  • [2021 Pattern Recognition] Relevance attack on detectors, PDF, digital

  • [2020 Pattern Recognition] Universal adversarial perturbations against object detection, PDF, digital

  • [2019 BMVC] Attacking Object Detectors via Imperceptible Patches on Background, PDF, digital

  • [2020 TPS-ISA] Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems, PDF, Talk, Source code, digital & physicals

  • [2020 In European Symposium on Research in Computer Security] Understanding Object Detection Through an Adversarial Lens. [PDF], [Talk] Source code, digital & physicals

  • [2019 IJCAI] Transferable Adversarial Attacks for Image and Video Object Detection, PDF, Source code, digital

  • [2018 BMVC] Robust Adversarial Perturbation on Deep Proposal-based Models, PDF,Source code, digital

Wearable Patches Attack

  • [2022 CVPR] Adversarial Texture for Fooling Person Detectors in the Physical World, PDF, physicals
  • [2020 ECCV] Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors, PDF, physicals
  • [2020 ECCV] Adversarial T-shit! Evading Person Detectors in A Physical World, PDF, physicals
  • [2019 ICCV] advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns, PDF, Source code, physicals
  • [ACM CCS 2016] Accessorize to a Crime: Real and Stealthy Attacks onState-of-the-Art Face Recognition, PDF, Source code, physicals

Non-Planar Patches/Painting Attack

  • [2022 CVPR] Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input, pdf, physicals
  • [2022 CVPR] DTA Physical Camouflage Attacks using Differentiable Transformation Network, PDF, physicals /Hu_Adversarial_Texture_for_Fooling_Person_Detectors_in_the_Physical_World_CVPR_2022_paper.pdf), physicals
  • [2022 IJCAI] Learning Coated Adversarial Camouflages for Object Detectors, PDF, physicals
  • [2022 AAAI] FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack, PDF, physicals
  • [2021 CVPR] Dual Attention Suppression Attack: Generate adversarial camouflage in physical world, PDF, Source code, physicals
  • [2020 arxiv] Physical Adversarial Attack on Vehicle Detector in the Carla Simulator, PDF, digital
  • [2020 CVPR] Universal Physical Camouflage Attack on Object Detectors, PDF, physicals
  • [2019 ICLR] CAMOU: LEARNING A VEHICLE CAMOUFLAGE FOR PHYSICAL ADVERSARIAL ATTACK ON OBJECT DETECTORS IN THE WILD, PDF, digital
  • [2019 CVPR] MeshAdv Adversarial Meshes for Visual Recognition, PDF, physical
  • [2019 CVPR] Adversarial Attacks Beyond the Image Space, PDF, digital

Attack against Aerial Object detectors

  • [2022 IEEE transactions on geoscience and remote sensing] Benchmarking Adversarial Patch Against Aerial Detection, PDF, aerial imagery, physical

  • [2020 ATVA] Adversarial Patch Camouflage against Aerial Detection, PDF, digital

  • [remote sensing, 2022] Adversarial Patch Attack on Multi-Scale Object Detection for UAV Remote Sensing Images, PDF, UAV related attacks, physical

  • [WACV 2022] [hysical Adversarial Attacks on an Aerial Imagery Object Detector, homepage, PDF, demo

  • [remote sensing] Scale-Adaptive adversarial patch attack for remote sensing image aircraft detection,PDF, digital

  • [preprint] Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector, PDF, digital

Blackbox Attack

3D Attack

Defense of Attacks on Object Detectors

  • [2021 ICLR Workshop on Security and Safety in Machine Learning Systems (Travel Award)], PDF, [GitHub] [Slides] [Poster], digital

  • [2021 ACM CCS], DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks, PDF [GitHub] [ACM DL] [Video] [Slides], digital

  • [2021 USENIX Security], PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking, PDF, [GitHub] [arXiv Technical Report] [Video] [Slides], digital

  • [arXiv 2108],PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier, PDF, GitHub], digital

  • [2021 arxiv] adversarial YOLO defense human detection patch attacks via detecting adversarial patches, PDF, physical

  • [2021 arxiv], We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature, PDF, physical

  • [ICCV 2019] Towards Adversarially Robust Object Detection, PDF, digital

  • [ICML 2021]Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks, PDF, digital

Useful Object Detection Dataset

  1. PASCAL VOC
  1. MS COCO
  1. Inria
  1. DOTA
  1. ILSVRC
  1. Open Images(QID)
  1. Remote sensing/UAV aerial dataset
  1. Cars Overhead With Context (COWC)
  1. visdrone
  1. NWPU VHR-10
  1. RSOD