Alternatives and similar repositories for ABD

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

• Piyush-555 / GaussianDistillation
  Data-free knowledge distillation using Gaussian noise (NeurIPS paper)
  ☆15Updated 2 years ago
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆53Updated last year
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆39Updated 2 years ago
• boyellow / AdaAD
  Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).
  ☆35Updated 2 years ago
• Saehyung-Lee / DCC
  This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.
  ☆21Updated 3 years ago
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆66Updated 2 years ago
• DataDistillation / DataDAM
  [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching
  ☆34Updated last year
• kai-wen-yang / IDAA
  [ICML2022] "Identity-Disentangled Adversarial Augmentation for Self-Supervised Learning"
  ☆10Updated 2 years ago
• zju-vipa / CMI
  [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation
  ☆72Updated 3 years ago
• justincui03 / dc_benchmark
  ☆86Updated 2 years ago
• deeplearning-wisc / dice
  Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"
  ☆40Updated 2 years ago
• wyzjack / SLA2P
  [TKDE 2024, CIKM 2022] SLA²P: Self-supervised Anomaly Detection with Adversarial Perturbation.
  ☆38Updated 6 months ago
• yueb17 / PEMN
  ☆19Updated 2 years ago
• yaolu-zjut / DDInterpreter
  ☆16Updated last year
• MingSun-Tse / Good-DA-in-KD
  [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective
  ☆37Updated 2 years ago
• ZFancy / Unleashing-Mask
  [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
  ☆18Updated last year
• yqy2001 / A-InfoNCE
  [ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"
  ☆23Updated 2 years ago
• huanranchen / Visualize-Loss-Landscape
  Respect to the input tensor instead of paramters of NN
  ☆19Updated 2 years ago
• he-y / Multisize-Dataset-Condensation
  Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)
  ☆13Updated last year
• JngwenYe / LIRF
  Code for ECCV 2022 paper “Learning with Recoverable Forgetting”
  ☆21Updated 2 years ago
• VITA-Group / Trap-and-Replace-Backdoor-Defense
  [NeurIPS'22] Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. Haotao Wang, Junyuan Hong,…
  ☆15Updated last year
• LijieFan / AdvCL
  [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
  ☆48Updated 3 years ago
• justincui03 / tesla
  ☆29Updated last year
• DingfanChen / Private-Set
  Official implementation of "Private Set Generation with Discriminative Information" (NeurIPS 2022)
  ☆17Updated last year
• youranonymousefriend / plugininversion
  Official Implementation for PlugIn Inversion
  ☆16Updated 3 years ago
• VICO-UoE / IT-GAN
  ☆23Updated last year
• yolky / RCIG
  ☆14Updated 2 years ago
• UCDvision / backdoor_transformer
  ☆31Updated 2 years ago
• JeremyCJM / CCST
  Official repo for the WACV 2023 paper: Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer.
  ☆30Updated last year
• VITA-Group / Random-Shuffling-BackdoorDetect
  [NeurIPS 2022] "Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets" by Ruisi Cai*, Zhenyu Zh…
  ☆20Updated 2 years ago