yyl-github-1896 / QAALinks
This is the official code repository for paper "Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization"
☆13Updated 2 months ago
Alternatives and similar repositories for QAA
Users that are interested in QAA are comparing it to the libraries listed below
Sorting:
- Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness☆33Updated 2 years ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆29Updated 3 years ago
- Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)☆34Updated 2 years ago
- Official code for "Boosting the Adversarial Transferability of Surrogate Model with Dark Knowledge"☆11Updated last year
- Adversarial Robustness, White-box, Adversarial Attack☆50Updated 3 years ago
- ☆35Updated 2 years ago
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆36Updated 8 months ago
- Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)☆16Updated 2 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆58Updated 2 years ago
- ☆31Updated 3 years ago
- ☆19Updated 3 years ago
- Knowledge distillation (KD) from a decision-based black-box (DB3) teacher without training data.☆21Updated 3 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Updated 2 years ago
- A curated list of papers for the transferability of adversarial examples☆72Updated last year
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆15Updated 2 years ago
- SEAT☆21Updated last year
- Anti-Backdoor learning (NeurIPS 2021)☆81Updated last year
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- ☆58Updated 2 years ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆26Updated 2 years ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆26Updated 7 months ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆71Updated last year
- ☆24Updated 2 years ago
- ☆19Updated 10 months ago
- ☆24Updated last year
- Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)☆38Updated last year
- Defending against Model Stealing via Verifying Embedded External Features☆36Updated 3 years ago
- TIFS2022: Decision-based Adversarial Attack with Frequency Mixup☆22Updated last year