Alternatives and similar repositories for DepthModelHardening

Users that are interested in DepthModelHardening are comparing it to the libraries listed below

• Bob-cheng / MDE_Attack
  Implementation of "Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches"
  ☆22Updated 2 years ago
• Gandolfczjh / 3D2Fool
  http://arxiv.org/abs/2403.17301
  ☆45Updated 2 months ago
• retis-ai / SemSegAdvPatch
  ☆25Updated 2 years ago
• Aries-iai / TT3D
  The official implementation for "Towards Transferable Targeted 3D Adversarial Attack in the Physical World" (CVPR, 2024))
  ☆32Updated 10 months ago
• Bob-cheng / CL-FusionAttack
  The Pytorch implementation for the paper "Fusion is Not Enough: Single Modal Attack on Fusion Models for 3D Object Detection"
  ☆13Updated last year
• Daniel-xsy / BEV-Attack
  [TMLR'24] On the Adversarial Robustness of Camera-based 3D Object Detection
  ☆25Updated last year
• Arknightpzb / Survey-of-Physical-adversarial-attack
  A Survey of Physical Adversarial Attack in Computer Vision
  ☆16Updated 10 months ago
• zzj403 / BEV_Robust
  [CVPR 2023] Understanding the Robustness of 3D Object Detection With Bird's-Eye-View Representations in Autonomous Driving
  ☆29Updated last year
• inspire-group / patch-defense-leaderboard
  A Leaderboard for Certifiable Robustness against Adversarial Patch Attacks
  ☆21Updated last year
• jeromerony / alma_prox_segmentation
  Code for the CVPR 2023 paper "Proximal Splitting Adversarial Attacks for Semantic Segmentation"
  ☆23Updated last year
• alexklwong / stereopagnosia
  PyTorch implementation of Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations (in AAAI 2021)
  ☆13Updated 3 years ago
• dreamflake / CFM
  [CVPR 2023] Official implementation of the Clean Feature Mixup (CFM) method
  ☆17Updated 2 years ago
• SeRAlab / Robust-and-Accurate-UV-map-based-Camouflage-Attack
  [ICML 2024] RAUCA: A robust and accurate adversarial camouflage generation method
  ☆13Updated last week
• wsynuiag / NAPGaurd
  ☆14Updated 6 months ago
• shikiw / SI-Adv
  [CVPR 2022] Shape-invariant Adversarial Point Clouds
  ☆46Updated last year
• AvishagS422 / PhantomSponges
  ☆18Updated 2 years ago
• RYC-98 / GRA
  Official codes for GRA (Accepted by ICCV2023)
  ☆17Updated last year
• winterwindwang / neural_renderer
  A PyTorch port of the Neural 3D Mesh Renderer
  ☆12Updated 2 years ago
• dreamflake / ODI
  [CVPR 2022] Official implementation of the Object-based Diverse Input (ODI) method
  ☆23Updated 2 years ago
• zhenxianglance / PCBA
  A Backdoor Attack against 3D Point Cloud Classifiers (ICCV2021)
  ☆18Updated 3 years ago
• wakuwu / OSFD
  (AAAI 2024) Transferable Adversarial Attacks for Object Detection using Object-Aware Significant Feature Distortion
  ☆12Updated last year
• xiaosen-wang / SIT
  [ICCV 2023] Structure Invariant Transformation for better Adversarial Transferability
  ☆23Updated last year
• VDIGPKU / T-SEA
  [CVPR 2023] T-SEA: Transfer-based Self-Ensemble Attack on Object Detection
  ☆107Updated 7 months ago
• TRLou / HiT-ADV
  The code of "Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds" CVPR 2024
  ☆33Updated last year
• USSLab / TPatch
  [USENIX'23] TPatch: A Triggered Physical Adversarial Patch
  ☆22Updated last year
• Omenzychen / Adversarial_Content_Attack
  [NeurIPS 2023] Content-based Unrestricted Adversarial Attack
  ☆26Updated last year
• GATECH-EIC / Patch-Fool
  [ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu…
  ☆33Updated 3 years ago
• idrl-lab / Full-coverage-camouflage-adversarial-attack
  https://idrl-lab.github.io/Full-coverage-camouflage-adversarial-attack/
  ☆50Updated 2 years ago
• abhishekaich27 / GAMA-pytorch
  [NeurIPS 2022] GAMA: Generative Adversarial Multi-Object Scene Attacks
  ☆17Updated last year
• qizhangli / TA-Bench
  Code for our NeurIPS 2023 paper Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
  ☆14Updated last year