ZJZAC / Poison-Ink
☆18Updated last year
Alternatives and similar repositories for Poison-Ink:
Users that are interested in Poison-Ink are comparing it to the libraries listed below
- ☆17Updated 3 years ago
- ☆19Updated 2 years ago
- Implementation of IEEE TNNLS 2023 and Elsevier PR 2023 papers on backdoor watermarking for deep classification models with unambiguity an…☆16Updated last year
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆30Updated 4 years ago
- ☆19Updated 3 years ago
- ☆17Updated 3 years ago
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆15Updated 2 years ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Updated 2 years ago
- [AAAI'21] Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification☆28Updated 3 months ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆34Updated 5 months ago
- Code for Transferable Unlearnable Examples☆19Updated 2 years ago
- TIFS2022: Decision-based Adversarial Attack with Frequency Mixup☆21Updated last year
- ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…☆43Updated 2 years ago
- Code for the paper "StyLess: Boosting the Transferability of Adversarial Examples" (CVPR 2023)☆25Updated last year
- [CVPR 2023] The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robust…☆22Updated last year
- ☆42Updated last year
- Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)☆34Updated 2 years ago
- Official Tensorflow implementation for "Improving the Transferability of Adversarial Samples by Path-Augmented Method" (CVPR 2023).☆12Updated last year
- The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferabili…☆19Updated 7 months ago
- ☆19Updated 2 years ago
- ☆21Updated 4 years ago
- [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset☆48Updated last year
- Invisible Backdoor Attack with Sample-Specific Triggers☆94Updated 2 years ago
- [NeurIPS 2023] Codes for DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification☆29Updated last year
- Divide-and-Conquer Attack: Harnessing the Power of LLM to Bypass the Censorship of Text-to-Image Generation Mode☆18Updated last month
- Official code for "Boosting the Adversarial Transferability of Surrogate Model with Dark Knowledge"☆11Updated last year
- Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks☆17Updated 5 years ago
- ☆26Updated 2 years ago