ZSHsh98 / EPS-AD

Related projects ⓘ

Alternatives and complementary repositories for EPS-AD

• cvlab-columbia / ZSRobust4FoundationModel
  ☆38Updated last year
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆51Updated last year
• Zoky-2020 / SGA
  Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023 Oral]
  ☆47Updated last year
• vinusankars / Convolution-based-Unlearnability
  ☆17Updated last year
• Mi-Peng / Sparse-Sharpness-Aware-Minimization
  [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation
  ☆44Updated last year
• zhangmarvin / memo
  ☆60Updated last year
• TreeLLi / APT
  One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
  ☆37Updated last week
• huanranchen / DiffusionClassifier
  Official code implement of Robust Classification via a Single Diffusion Model
  ☆60Updated 6 months ago
• dwDavidxd / ARN
  Towards Defending against Adversarial Examples via Attack-Invariant Features
  ☆8Updated last year
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆107Updated 8 months ago
• zibojia / RSLAD
  This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"
  ☆39Updated 3 years ago
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated last year
• nblt / Sub-AT
  [CVPR 2022 oral] Subspace Adversarial Training
  ☆26Updated last year
• kai-wen-yang / CD-VAE
  [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"
  ☆43Updated 2 years ago
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆52Updated 6 months ago
• huanranchen / Visualize-Loss-Landscape
  Respect to the input tensor instead of paramters of NN
  ☆15Updated 2 years ago
• mr-eggplant / EATA
  Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting
  ☆106Updated last year
• Muzammal-Naseer / ATViT
  Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)
  ☆70Updated 2 years ago
• jiamingzhang94 / Adversarial-Prompt-Tuning
  ECCV2024: Adversarial Prompt Tuning for Vision-Language Models
  ☆22Updated this week
• justincui03 / dc_benchmark
  ☆81Updated last year
• adarobustness / adaptation_robustness
  Evaluate robustness of adaptation methods on large vision-language models
  ☆17Updated last year
• ShawnXYang / C-GSP
  ☆12Updated 2 years ago
• LijieFan / AdvCL
  [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
  ☆46Updated 3 years ago
• Haochen-Luo / CroPA
  ☆30Updated 5 months ago
• huanranchen / AdversarialAttacks
  ☆56Updated 3 months ago
• zju-vipa / CMI
  [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation
  ☆68Updated 2 years ago
• SaFoLab-WISC / Awesome-T2I-safety-Papers
  List of T2I safety papers, updated daily, welcome to discuss using Discussions
  ☆45Updated 3 months ago
• RuoyuChen10 / SMDL-Attribution
  [ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
  ☆72Updated last month
• yunqing-me / AttackVLM
  [NeurIPS-2023] Annual Conference on Neural Information Processing Systems
  ☆162Updated last year
• Saehyung-Lee / DCC
  This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.
  ☆20Updated 2 years ago