Alternatives and similar repositories for Cross-Modal-Attack

Users that are interested in Cross-Modal-Attack are comparing it to the libraries listed below

• lwmming / AGS
  Code for the AAAI 2024 paper: "AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack" (accepted).
  ☆11Updated last year
• zhipeng-wei / TT
  ☆14Updated 2 years ago
• zhipeng-wei / Image-to-Video-I2V-attack
  Cross-Modal Transferable Adversarial Attacks from Images to Videos (CVPR 2022)
  ☆19Updated 11 months ago
• dwDavidxd / PAD
  Phase-aware Adversarial Defense for Improving Adversarial Robustness
  ☆11Updated last year
• dwDavidxd / ARN
  Towards Defending against Adversarial Examples via Attack-Invariant Features
  ☆10Updated last year
• zhipeng-wei / Self-Universality
  Enhancing the Self-Universality for Transferable Targeted Attacks [CVPR 2023 Paper]
  ☆35Updated last year
• JHL-HUST / EMI
  Boosting Transferability through Enhanced Momentum
  ☆14Updated last year
• zhipeng-wei / PNA-PatchOut
  ☆35Updated 11 months ago
• yuyang-long / SSA
  Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples
  ☆106Updated 2 years ago
• liuxuannan / Stochastic-Gradient-Aggregation
  Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…
  ☆25Updated last year
• JHL-HUST / Admix
  ☆35Updated last year
• Zoky-2020 / SGA
  Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023 Oral]
  ☆60Updated last year
• huanranchen / AdversarialAttacks
  ☆73Updated 10 months ago
• adversarial-for-goodness / Co-Attack
  official PyTorch implement of Towards Adversarial Attack on Vision-Language Pre-training Models
  ☆58Updated 2 years ago
• jiamingzhang94 / Unlearnable-Clusters
  CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples
  ☆21Updated 2 years ago
• jiaxiaojunQAQ / LAS-AT
  Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)
  ☆118Updated 3 years ago
• Trustworthy-AI-Group / PGN
  [NeurIPS 2023] Boosting Adversarial Transferability by Achieving Flat Local Maxima
  ☆30Updated last year
• dwDavidxd / CAFD
  Removing Adversarial Noise in Class Activation Feature Space
  ☆14Updated last year
• LinQinLiang / SSAH-adversarial-attack
  Code for the paper "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity"
  ☆57Updated last year
• BUserName / Learning_to_diversify
  ☆93Updated 2 years ago
• uhiu / StyLess
  Code for the paper "StyLess: Boosting the Transferability of Adversarial Examples" (CVPR 2023)
  ☆25Updated last year
• Alexkael / Randomized-Adversarial-Training
  ☆29Updated last year
• tokaka22 / CVPR23-GMAA
  [CVPR2023]Discrete Point-wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition
  ☆41Updated 2 years ago
• qilong-zhang / Pytorch_Universal-adversarial-perturbation
  A PyTorch implementation of universal adversarial perturbation (UAP) which is more easy to understand and implement.
  ☆56Updated 3 years ago
• hcguoO0 / FIA
  code for "Feature Importance-aware Transferable Adversarial Attacks"
  ☆82Updated 2 years ago
• renjie3 / TUE
  Code for Transferable Unlearnable Examples
  ☆20Updated 2 years ago
• serendipity1122 / Pre-trained-Model-Guided-Fine-Tuning-for-Zero-Shot-Adversarial-Robustness
  Code repository for CVPR2024 paper 《Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness》
  ☆21Updated last year
• dwDavidxd / MIAT
  Improving Adversarial Robustness via Mutual Information Estimation
  ☆11Updated last year
• SCLBD / MCG-Blackbox
  The MCG black-box attack framework published in TPAMI 2022
  ☆35Updated 2 years ago
• VL-Group / Natural-Color-Fool
  This repository is the official implementation of [Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks (NeurIPS'22)](http…
  ☆25Updated 2 years ago