LixiaoTHU / ADBMLinks
☆19Updated 3 months ago
Alternatives and similar repositories for ADBM
Users that are interested in ADBM are comparing it to the libraries listed below
Sorting:
- Revisiting Transferable Adversarial Images (TPAMI 2025)☆138Updated 2 months ago
- A curated list of papers for the transferability of adversarial examples☆74Updated last year
- ☆78Updated last year
- ☆41Updated last year
- An unrestricted attack based on diffusion models that can achieve both good transferability and imperceptibility.☆241Updated last year
- Enhancing the Self-Universality for Transferable Targeted Attacks [CVPR 2023 Paper]☆37Updated last year
- The official repo for the paper "An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability"☆42Updated 2 years ago
- Code for our NeurIPS 2023 paper Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly☆14Updated last year
- ☆35Updated 2 years ago
- ☆37Updated last year
- Official codes for FPR (Accepted by CVPR2025)☆11Updated 8 months ago
- ☆59Updated 2 years ago
- Convert tensorflow model to pytorch model via [MMdnn](https://github.com/microsoft/MMdnn) for adversarial attacks.☆92Updated 2 years ago
- Towards Efficient and Effective Adversarial Training, NeurIPS 2021☆17Updated 3 years ago
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆27Updated 2 years ago
- Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023 Oral]☆66Updated 2 years ago
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆112Updated 3 years ago
- Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)☆17Updated 2 years ago
- Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)☆118Updated 3 years ago
- [NeurIPS 2023] Boosting Adversarial Transferability by Achieving Flat Local Maxima☆34Updated last year
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆145Updated 2 years ago
- [ICCV 2023 Oral] Official implementation of "Robust Evaluation of Diffusion-Based Adversarial Purification"☆25Updated last year
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆28Updated 2 years ago
- official PyTorch implement of Towards Adversarial Attack on Vision-Language Pre-training Models☆63Updated 2 years ago
- Code for Transferable Unlearnable Examples☆22Updated 2 years ago
- CVPR 2025 - Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models☆58Updated 3 months ago
- ☆22Updated 2 years ago
- The code of the ICLR 2024 paper: Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization☆11Updated 11 months ago
- The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferabili…☆20Updated last year
- ☆31Updated last year