Alternatives and similar repositories for SIT

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

• liuxuannan / Stochastic-Gradient-Aggregation
  Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…
  ☆27Updated 2 years ago
• RYC-98 / GRA
  Official codes for GRA (Accepted by ICCV2023)
  ☆17Updated 2 years ago
• steven202 / semantic_adv_via_dm
  [BMVC 2023] Semantic Adversarial Attacks via Diffusion Models
  ☆24Updated 2 years ago
• uhiu / StyLess
  Code for the paper "StyLess: Boosting the Transferability of Adversarial Examples" (CVPR 2023)
  ☆26Updated 2 years ago
• Trustworthy-AI-Group / BSR
  [CVPR 2024] Boosting Adversarial Transferability by Block Shuffle and Rotation
  ☆13Updated last year
• Zhijin-Ge / STM
  [ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.
  ☆22Updated last year
• zhipeng-wei / PNA-PatchOut
  ☆37Updated last year
• yuyang-long / SSA
  Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples
  ☆114Updated 3 years ago
• qizhangli / MoreBayesian-attack
  Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.
  ☆18Updated 2 years ago
• lafeat / advdiffuser
  AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models (ICCV 2023)
  ☆19Updated 2 years ago
• Trustworthy-AI-Group / PGN
  [NeurIPS 2023] Boosting Adversarial Transferability by Achieving Flat Local Maxima
  ☆34Updated last year
• yihuang2016 / TAIG
  ☆22Updated 3 years ago
• CHENBIN99 / AdaEA
  The official repo for the paper "An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability"
  ☆44Updated 2 years ago
• JHL-HUST / SVRE
  Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
  ☆24Updated 3 years ago
• dwDavidxd / ARN
  Towards Defending against Adversarial Examples via Attack-Invariant Features
  ☆12Updated 2 years ago
• kangmintong / DiffAttack
  [NeurIPS 2023] Codes for DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
  ☆38Updated last year
• dreamflake / ODI
  [CVPR 2022] Official implementation of the Object-based Diverse Input (ODI) method
  ☆23Updated 3 years ago
• JindongGu / Awesome_Adversarial_Transferability
  A curated list of papers for the transferability of adversarial examples
  ☆75Updated last year
• XiuchuanLi / fmixup
  TIFS2022: Decision-based Adversarial Attack with Frequency Mixup
  ☆23Updated 2 years ago
• wkim97 / ADA
  Diverse Generative Perturbations on Attention Space for Transferable Adversarial Attacks (ICIP 2022 Oral)
  ☆19Updated 3 years ago
• shaguopohuaizhe / TSAA
  ☆36Updated last year
• Asteriajojo / M3D
  Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)
  ☆17Updated 2 years ago
• GATECH-EIC / Patch-Fool
  [ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu…
  ☆34Updated 3 years ago
• jiawangbai / BadCLIP
  Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf
  ☆23Updated last year
• huanranchen / AdversarialAttacks
  ☆79Updated last year
• abhishekaich27 / GAMA-pytorch
  [NeurIPS 2022] GAMA: Generative Adversarial Multi-Object Scene Attacks
  ☆19Updated 2 years ago
• Alibaba-AAIG / Beyond-ImageNet-Attack
  Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.
  ☆61Updated 3 years ago
• Aries-iai / TT3D
  The official implementation for "Towards Transferable Targeted 3D Adversarial Attack in the Physical World" (CVPR, 2024))
  ☆38Updated last year
• Kira0096 / CGATTACK
  Official repository for CVPR 2022 paper 'Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution'
  ☆27Updated 3 years ago
• xherdan76 / A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability
  A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)
  ☆31Updated 3 years ago