Alternatives and similar repositories for PatchSearch

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

• vinusankars / Convolution-based-Unlearnability
  ☆19Updated 2 years ago
• konpanousis / Adversarial-LWTA-AutoAttack
  ☆12Updated 3 years ago
• KuofengGao / ASD
  [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset
  ☆49Updated last year
• jiangw-0 / LE_JCDP
  Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples
  ☆10Updated last year
• RU-System-Software-and-Security / UNICORN
  ☆15Updated 2 years ago
• 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
• inspire-group / tta_risk
  ☆14Updated 2 years ago
• PurduePAML / Exray
  ☆12Updated 3 years ago
• LijieFan / AdvCL
  [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
  ☆48Updated 4 years ago
• Muzammal-Naseer / ATViT
  Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)
  ☆72Updated 3 years ago
• conditionWang / NTL
  This is the code of ICLR 2022 Oral paper 'Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Au…
  ☆30Updated 2 years ago
• jiaxiaojunQAQ / FGSM-SDI
  Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)
  ☆29Updated 2 years ago
• uitrbn / IDM
  ☆28Updated 2 years ago
• UCDvision / backdoor_transformer
  ☆32Updated 3 years ago
• Zixuan-Zhu / VaB
  ☆13Updated last year
• VITA-Group / ProgressiveDD
  [ICLR 2024] "Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality" by Xuxi Chen*, Yu Yang*, Zhangyang Wang, Baha…
  ☆15Updated last year
• pantheon5100 / DeACL
  This is the official implementation of the paper "Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness,"…
  ☆19Updated last year
• UniSerj / Random-Projection-Filters
  [CVPR 2023] Adversarial Robustness via Random Projection Filters
  ☆14Updated 2 years ago
• yaolu-zjut / DDInterpreter
  ☆15Updated last year
• TreeLLi / APT
  One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
  ☆56Updated 11 months ago
• illidanlab / ABD
  [ICML2023] Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
  ☆23Updated last year
• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆15Updated 2 years ago
• dayu11 / Availability-Attacks-Create-Shortcuts
  ☆10Updated 3 years ago
• chenweixin107 / TrojDiff
  ☆59Updated 3 years ago
• ShawnXYang / C-GSP
  ☆15Updated 3 years ago
• 20000yshust / SWARM
  [CVPR 2024] Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers
  ☆16Updated 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
• retsuh-bqw / ICCV23-Towards-Building-More-Robust-Models-with-Frequency-Bias
  [ICCV 2023] Towards Building More Robust Models with Frequency Bias
  ☆19Updated last year
• xpf / Data-Efficient-Backdoor-Attacks
  Data-Efficient Backdoor Attacks
  ☆19Updated 3 years ago
• psandovalsegura / autoregressive-poisoning
  Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)
  ☆20Updated last year