Alternatives and similar repositories for ICML-2024-SAM-AT

Users that are interested in ICML-2024-SAM-AT are comparing it to the libraries listed below

• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆81Updated last year
• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆53Updated 2 years ago
• wzekai99 / DM-Improves-AT
  Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)
  ☆144Updated 2 years ago
• Jayfeather1024 / DensePure
  ☆19Updated 2 years ago
• ethz-spylab / diffusion_denoised_smoothing
  Certified robustness "for free" using off-the-shelf diffusion models and classifiers
  ☆44Updated 2 years ago
• OPTML-Group / Unlearn-Saliency
  [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…
  ☆137Updated 5 months ago
• rain152 / PAT
  [NeurIPS 2024] Fight Back Against Jailbreaking via Prompt Adversarial Tuning
  ☆10Updated last year
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆26Updated 11 months ago
• banyuanhao / PAP
  ☆23Updated 2 years ago
• ethz-spylab / autoadvexbench
  ☆33Updated 5 months ago
• OPTML-Group / AdvUnlearn
  Official implementation of NeurIPS'24 paper "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Model…
  ☆49Updated 11 months ago
• justincui03 / dc_benchmark
  ☆87Updated 2 years ago
• inspire-group / tta_risk
  ☆14Updated 2 years ago
• jinhaoduan / SecMI
  [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
  ☆41Updated last year
• mo666666 / When-Adversarial-Training-Meets-Vision-Transformers
  Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…
  ☆34Updated 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
• nmndeep / revisiting-at
  [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…
  ☆38Updated 10 months ago
• inspire-group / DP-RandP
  [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes
  ☆12Updated 2 years ago
• ChaojianYu / Robust-Weight-Perturbation
  Implementation for <Robust Weight Perturbation for Adversarial Training> in IJCAI'22.
  ☆16Updated 3 years ago
• UCDvision / backdoor_transformer
  ☆32Updated 3 years ago
• UCSC-VLAA / AdvXL
  [CVPR 2024] This repository includes the official implementation our paper "Revisiting Adversarial Training at Scale"
  ☆20Updated last year
• VITA-Group / Shake-to-Leak
  ☆15Updated 7 months ago
• YuxinWenRick / canary-in-a-coalmine
  ☆32Updated last year
• IBM / SafeLoRA
  Github repo for NeurIPS 2024 paper "Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models"
  ☆21Updated last month
• nblt / Sub-AT
  [CVPR 2022 oral] Subspace Adversarial Training
  ☆27Updated 2 years ago
• if-loops / selective-synaptic-dampening
  [AAAI, ICLR TP] Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening
  ☆55Updated last year
• chenweixin107 / TrojDiff
  ☆58Updated 2 years ago
• VITA-Group / Alleviate-Robust-Overfitting
  [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…
  ☆47Updated 3 years ago
• reds-lab / Meta-Sift
  The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …
  ☆19Updated 2 years ago
• kaiwenzha / contrastive-poisoning
  [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
  ☆31Updated last year