dwDavidxd / PAD
Phase-aware Adversarial Defense for Improving Adversarial Robustness
☆11Updated last year
Alternatives and similar repositories for PAD:
Users that are interested in PAD are comparing it to the libraries listed below
- Improving Adversarial Robustness via Mutual Information Estimation☆10Updated last year
- Removing Adversarial Noise in Class Activation Feature Space☆14Updated last year
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆20Updated last year
- Towards Defending against Adversarial Examples via Attack-Invariant Features☆10Updated last year
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆23Updated last year
- Code for Transferable Unlearnable Examples☆19Updated 2 years ago
- [NeurIPS 2023] Boosting Adversarial Transferability by Achieving Flat Local Maxima☆30Updated last year
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆26Updated 2 years ago
- ☆18Updated 2 years ago
- CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples☆21Updated 2 years ago
- ☆54Updated last year
- Enhancing the Self-Universality for Transferable Targeted Attacks [CVPR 2023 Paper]☆35Updated last year
- [CVPR 2023] The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robust…☆23Updated last year
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆102Updated 2 years ago
- ☆29Updated 10 months ago
- CVPR 2023 generalist☆15Updated last year
- ☆71Updated 9 months ago
- Code repository for CVPR2024 paper 《Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness》☆20Updated 10 months ago
- [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers☆21Updated 3 years ago
- Code for our NeurIPS 2023 paper Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly☆14Updated last year
- ☆20Updated last month
- [ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.☆18Updated last year
- A curated list of papers for the transferability of adversarial examples☆65Updated 9 months ago
- Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023 Oral]☆60Updated last year
- [NeurIPS 2023] Codes for DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification☆29Updated last year
- official PyTorch implement of Towards Adversarial Attack on Vision-Language Pre-training Models☆58Updated 2 years ago
- ☆10Updated 2 years ago
- ☆22Updated 2 years ago
- Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability☆24Updated 2 years ago
- AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models (ICCV 2023)☆18Updated last year