Alternatives and similar repositories for RobustSSL_Benchmark

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

• mo666666 / When-Adversarial-Training-Meets-Vision-Transformers
  Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…
  ☆37Updated last year
• YukeHu / vlm_mia
  Code for paper "Membership Inference Attacks Against Vision-Language Models"
  ☆25Updated 11 months ago
• weizeming / ICML-2024-SAM-AT
  ☆25Updated last year
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆80Updated last year
• conditionWang / Data_Centric_AI_IP_Protection
  This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…
  ☆23Updated 2 years ago
• UCDvision / backdoor_transformer
  ☆33Updated 3 years ago
• ZFancy / SFAT
  [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
  ☆31Updated 2 weeks ago
• inspire-group / tta_risk
  ☆14Updated 2 years ago
• PKU-ML / Generalist
  CVPR 2023 generalist
  ☆16Updated 2 years ago
• ChaojianYu / Robust-Weight-Perturbation
  Implementation for <Robust Weight Perturbation for Adversarial Training> in IJCAI'22.
  ☆16Updated 3 years ago
• justincui03 / dc_benchmark
  ☆89Updated 2 years ago
• ziquanliu / CVPR2023-TWINS
  Official code for "TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization", CVPR 2023
  ☆13Updated 2 years ago
• IBM / composite-adv
  [CVPR23] "Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations" by Lei Hsi…
  ☆24Updated 3 months ago
• boyellow / AdaAD
  Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).
  ☆34Updated 2 years ago
• LINs-lab / FedTHE
  [ICLR 2023] Test-time Robust Personalization for Federated Learning
  ☆55Updated 2 years ago
• uitrbn / IDM
  ☆28Updated 2 years ago
• banyuanhao / PAP
  ☆23Updated 2 years ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆27Updated last year
• yaolu-zjut / DDInterpreter
  ☆15Updated last year
• nblt / Sub-AT
  [CVPR 2022 oral] Subspace Adversarial Training
  ☆28Updated 2 years ago
• zeyuanyin / tiny-imagenet
  ☆19Updated last year
• ZFancy / IAD
  [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers
  ☆22Updated 3 years ago
• inspire-group / MIAdefenseSELENA
  [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
  ☆17Updated 3 years ago
• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆54Updated 2 years ago
• kuluhan / PRE-DFKD
  Official implementation of the paper "Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay" (AAAI-2…
  ☆18Updated 3 years ago
• liuyugeng / baadd
  Code for Backdoor Attacks Against Dataset Distillation
  ☆35Updated 2 years ago
• ZSHsh98 / EPS-AD
  This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).
  ☆39Updated last year
• ML-GSAI / Understanding-GDA
  Towards understanding modern generative data augmentation techniques.
  ☆27Updated 2 years ago
• shenlei515 / VHL-paddle
  translation of VHL repo in paddle
  ☆25Updated 2 years ago
• if-loops / selective-synaptic-dampening
  [AAAI, ICLR TP] Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening
  ☆55Updated last year