Alternatives and similar repositories for RLB-MI:

Users that are interested in RLB-MI are comparing it to the libraries listed below

• hushon / ood-diffusion
  ☆17Updated 2 years ago
• luluppang / BCU
  Backdoor Cleansing with Unlabeled Data (CVPR 2023)
  ☆13Updated last year
• SCccc21 / Knowledge-Enriched-DMI
  ☆41Updated last year
• point0bar1 / ebm-defense
  PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM
  ☆24Updated 4 years ago
• JiwanHur / ISTY
  This is a codebase for I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images (WACV…
  ☆16Updated 10 months ago
• dwDavidxd / ARN
  Towards Defending against Adversarial Examples via Attack-Invariant Features
  ☆10Updated last year
• zibojia / RSLAD
  This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"
  ☆39Updated 3 years ago
• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆14Updated 2 years ago
• m-kahla / Label-Only-Model-Inversion-Attacks-via-Boundary-Repulsion
  ☆24Updated 2 years ago
• phibenz / uap_virtual_data.pytorch
  ☆28Updated 4 years ago
• lhfowl / adversarial_poisons
  ☆48Updated 3 years ago
• renjie3 / TUE
  Code for Transferable Unlearnable Examples
  ☆18Updated last year
• steven202 / semantic_adv_via_dm
  [BMVC 2023] Semantic Adversarial Attacks via Diffusion Models
  ☆20Updated last year
• hannxu123 / fair_robust
  ☆11Updated 2 years ago
• wangkua1 / vmi
  Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021
  ☆20Updated 3 years ago
• xherdan76 / A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability
  A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)
  ☆29Updated 2 years ago
• LetheSec / PLG-MI-Attack
  [AAAI 2023] Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network
  ☆25Updated 4 months ago
• cassidylaidlaw / ReColorAdv
  ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"
  ☆37Updated 2 years ago
• val-iisc / NuAT
  Towards Efficient and Effective Adversarial Training, NeurIPS 2021
  ☆17Updated 3 years ago
• kangmintong / DiffAttack
  [NeurIPS 2023] Codes for DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
  ☆27Updated 11 months ago
• AI-secure / Transferability-Reduced-Smooth-Ensemble
  ☆22Updated 2 years ago
• kong13661 / PIA
  Official repo for An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization
  ☆12Updated 11 months ago
• YiZeng623 / frequency-backdoor
  ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…
  ☆43Updated 2 years ago
• v-wangg / OrthogonalPGD
  ☆22Updated 3 years ago
• hsouri / Sleeper-Agent
  ☆65Updated last year
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated 2 years ago
• Framartin / lgv-geometric-transferability
  Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"
  ☆19Updated last year
• Ekko-zn / IJCAI2022-Backdoor
  ☆19Updated 2 years ago
• lafeat / apbench
  APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)
  ☆28Updated last month
• CGCL-codes / TeCo
  [CVPR 2023] The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robust…
  ☆21Updated last year