Alternatives and similar repositories for MIAT

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

• dwDavidxd / CAFD
  Removing Adversarial Noise in Class Activation Feature Space
  ☆14Updated last year
• jiaxiaojunQAQ / FGSM-PGI
  Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)
  ☆26Updated 2 years ago
• kai-wen-yang / CD-VAE
  [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"
  ☆46Updated 3 years ago
• dwDavidxd / PAD
  Phase-aware Adversarial Defense for Improving Adversarial Robustness
  ☆11Updated last year
• Alexkael / Randomized-Adversarial-Training
  ☆31Updated last year
• psandovalsegura / autoregressive-poisoning
  Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)
  ☆20Updated last year
• ZFancy / IAD
  [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers
  ☆21Updated 3 years ago
• zibojia / RSLAD
  This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"
  ☆43Updated 4 years ago
• ZSHsh98 / EPS-AD
  This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).
  ☆37Updated 11 months ago
• PKU-ML / CFA
  ☆20Updated 6 months ago
• liuxuannan / Stochastic-Gradient-Aggregation
  Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…
  ☆27Updated 2 years ago
• huanranchen / AdversarialAttacks
  ☆78Updated last year
• boyellow / AdaAD
  Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).
  ☆33Updated 2 years ago
• jiamingzhang94 / Unlearnable-Clusters
  CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples
  ☆22Updated 2 years ago
• JinyiW / GuidedDiffusionPur
  ☆59Updated 2 years ago
• JindongGu / Awesome_Adversarial_Transferability
  A curated list of papers for the transferability of adversarial examples
  ☆72Updated last year
• bymavis / CAS_ICLR2021
  ☆58Updated 3 years ago
• renjie3 / TUE
  Code for Transferable Unlearnable Examples
  ☆21Updated 2 years ago
• zjfheart / Geometry-aware-Instance-reweighted-Adversarial-Training
  the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral
  ☆59Updated 4 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
• dwDavidxd / ARN
  Towards Defending against Adversarial Examples via Attack-Invariant Features
  ☆12Updated last year
• conditionWang / NTL
  This is the code of ICLR 2022 Oral paper 'Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Au…
  ☆29Updated last year
• jiawangbai / BadCLIP
  Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf
  ☆21Updated last year
• KuofengGao / ASD
  [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset
  ☆48Updated last year
• zhipeng-wei / PNA-PatchOut
  ☆35Updated last year
• serendipity1122 / Pre-trained-Model-Guided-Fine-Tuning-for-Zero-Shot-Adversarial-Robustness
  Code repository for CVPR2024 paper 《Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness》
  ☆21Updated last year
• jiaxiaojunQAQ / LAS-AT
  Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)
  ☆117Updated 3 years ago
• whj363636 / Self-Ensemble-Adversarial-Training
  SEAT
  ☆21Updated last year
• lafeat / apbench
  APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)
  ☆35Updated 5 months ago
• Asteriajojo / M3D
  Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)
  ☆17Updated 2 years ago