Alternatives and similar repositories for Attack_classification_models_with_transferability:

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

• jiaxiaojunQAQ / FGSM-PGK
  Improving fast adversarial training with prior-guided knowledge (TPAMI2024)
  ☆40Updated 10 months ago
• wangren09 / TrojanNetDetector
  Practical Detection of Trojan Neural Networks
  ☆119Updated 4 years ago
• jiaxiaojunQAQ / FGSM-LAW
  Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging (TIFS2024)
  ☆33Updated 8 months ago
• ForeverPs / Robust-Classification
  CVPR 2022 Workshop Robust Classification
  ☆78Updated 2 years ago
• LetterLiGo / Inaudible-Adversarial-Perturbation-Vrifle
  [NDSS'24] Inaudible Adversarial Perturbation: Manipulating the Recognition of User Speech in Real Time
  ☆42Updated 4 months ago
• LetterLiGo / SafeGen_CCS2024
  [CCS'24] SafeGen: Mitigating Unsafe Content Generation in Text-to-Image Models
  ☆108Updated 4 months ago
• FenHua / transfer_adv
  transfer attack; adversarial examples; black-box attack; unrestricted Adversarial Attacks on ImageNet; CVPR2021 天池黑盒竞赛
  ☆24Updated 3 years ago
• jiaxiaojunQAQ / SA-AET
  Code for Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack
  ☆30Updated 3 months ago
• lorraine021 / Awesome-MLLM-Hallucination
  A comprehensive collection of resources focused on addressing and understanding hallucination phenomena in MLLMs.
  ☆35Updated 9 months ago
• wangren09 / MetaAdv
  ☆58Updated last year
• zhanghong863 / Feature-Extractors-for-Video-Steganalysis
  To provide the stego community with C/C++ implementations of selected feature extractors mainly targeted at H.264 steganography.
  ☆72Updated 3 years ago
• jiaxiaojunQAQ / I-GCG
  Improved techniques for optimization-based jailbreaking on large language models (ICLR2025)
  ☆80Updated 3 weeks ago
• cuge1995 / IT-Defense
  Our code for paper 'The art of defense: letting networks fool the attacker', IEEE Transactions on Information Forensics and Security, 202…
  ☆10Updated last year
• OPTML-Group / Fast-BAT
  [ICML22] "Revisiting and Advancing Fast Adversarial Training through the Lens of Bi-level Optimization" by Yihua Zhang*, Guanhua Zhang*, …
  ☆65Updated 2 years ago
• weijiaheng / Drops
  [ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"
  ☆34Updated last year
• wangren09 / MCGR
  ☆35Updated last month
• cure-lab / MMA-Diffusion
  [CVPR2024] MMA-Diffusion: MultiModal Attack on Diffusion Models
  ☆142Updated 10 months ago
• wgqtmac / DR-UDA
  This is the source code for paper "Unsupervised Adversarial Domain Adaptation for Cross-domain Face Presentation Attack Detection"
  ☆79Updated 3 years ago
• cuge1995 / Mesh-Attack
  our code for paper '3D Adversarial Attacks Beyond Point Cloud ', Information Sciences, 2023
  ☆32Updated last year
• wangren09 / RAILS
  Deep Learning - Robustness - Immune System
  ☆14Updated 3 years ago
• wangguanan / Pytorch-Basic-GANs
  Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.
  ☆85Updated 5 years ago
• alipay / YiJian-Community
  YiJian-Comunity: a full-process automated large model safety evaluation tool designed for academic research
  ☆106Updated 4 months ago
• skylorh / FedCLASS
  ☆17Updated last year
• CarlanLark / Robust-AIGC-Detector
  Code for ACL 2024 long paper: Are AI-Generated Text Detectors Robust to Adversarial Perturbations?
  ☆26Updated 7 months ago
• 894346698 / Federated-Learning-Framework
  A framework for implementing federated learning
  ☆32Updated 3 years ago
• weijiaheng / Multi-class-Peer-Loss-functions
  Learning with Noisy Labels by adopting a peer prediction loss function (deep learning & multi-class version).
  ☆19Updated 2 years ago
• TrustAIRLab / Comprehensive_Jailbreak_Assessment
  ☆73Updated this week
• Ptolemy-DL / Ptolemy
  ☆97Updated 3 years ago
• UCSC-REAL / CAL
  A Second-Order Approach to Learning with Instance-Dependent Label Noise (CVPR'21 oral)
  ☆42Updated 2 years ago
• weijiaheng / Robust-f-divergence-measures
  [ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"
  ☆67Updated 2 years ago