fandisaier9989

fandisaier9989's Stars

• Harry24k/adversarial-attacks-pytorch

  PyTorch implementation of adversarial attacks [torchattacks]

  Language:Python1.9k19146350

• salesforce/ALBEF

  Code for ALBEF: a new vision-language pre-training method

  Language:Python1.5k13141198

• yaodongyu/TRADES

  TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

  Language:Python5181028123

• ematvey/hierarchical-attention-networks

  Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.

  Language:Python4632925148

• uta-smile/TCL

  code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022

  Language:Python26062733

• Trustworthy-AI-Group/TransferAttack

  TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.

  Language:Python25361641

• LinyangLee/BERT-Attack

  Code for EMNLP2020 long paper: BERT-Attack: Adversarial Attack Against BERT Using BERT

  Language:Python18731232

• cihangxie/DI-2-FGSM

  Improving Transferability of Adversarial Examples with Input Diversity

  Language:Python1618938

• dongyp13/Translation-Invariant-Attacks

  The translation-invariant adversarial attack method to improve the transferability of adversarial examples.

  Language:Python13831522

• necla-ml/SNLI-VE

  Dataset and starting code for visual entailment dataset

  Language:Python108867

• thunlp/SememePSO-Attack

  Code and data of the ACL 2020 paper "Word-level Textual Adversarial Attacking as Combinatorial Optimization"

  Language:Python869614

• JHL-HUST/VT

  Enhancing the Transferability of Adversarial Attacks through Variance Tuning

  Language:Python802917

• Muzammal-Naseer/ATViT

  Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)

  Language:Python694311

• JHL-HUST/SI-NI-FGSM

  Language:Python675718

• Zoky-2020/SGA

  Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023 Oral]

  Language:Python464102

• Alan-Qin/Transfer_attack_RAP

  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)

  Language:Python33120

• JHL-HUST/Admix

  Language:Python32224

• zhipeng-wei/PNA-PatchOut

  Language:Python32154

• ericyinyzy/VLAttack

  This is an official repository of ``VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models'' (NeurIPS 2023).

  Language:Jupyter Notebook31322

• GeWu-Lab/MMPareto_ICML2024

  The repo for "MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance", ICML 2024

  Language:Python31311

• SensenGao/VLPTransferAttack

  [ECCV2024] Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory

  Language:Python160

• JHL-HUST/EMI

  Boosting Transferability through Enhanced Momentum

  Language:Python14110

• whdii/TMM

  Language:Python82

• adversarial-for-goodness/APF

  "Adversarial Privacy-preserving Filter" at ACM Multimedia 2020.

  Language:Python7341

• hfutml/iterative_attack_seg

  Language:Python3

• iamgroot42/blackboxsok

  Code for 'SoK: Pitfalls in Evaluating Black-Box Attacks' , SaTML 2024.

  Language:Jupyter Notebook3501

• Sammy42779/ALBEF_sammy

  Code for ALBEF: a new vision-language pre-training method

  Language:Python2000

• zhangyitonggg/adversarial-attacks

  根据论文复现的几种常用的对抗攻击的方法

  Language:Python2

• Coco-T-T/GMM

  Language:Python1

• Sammy42779/BLIP_sammy

  PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

  Language:Jupyter Notebook1000