HanxunH / CognitiveDistillation
[ICLR2023] Distilling Cognitive Backdoor Patterns within an Image
☆32Updated 2 months ago
Alternatives and similar repositories for CognitiveDistillation:
Users that are interested in CognitiveDistillation are comparing it to the libraries listed below
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆14Updated 2 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆54Updated 2 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆25Updated 2 months ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- ☆18Updated 2 years ago
- ☆41Updated last year
- Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness☆29Updated 2 years ago
- APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)☆28Updated this week
- 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 Transferable Unlearnable Examples☆17Updated last year
- ☆13Updated 3 years ago
- Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)☆34Updated last year
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆56Updated last year
- ☆48Updated 3 years ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆29Updated 3 years ago
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆18Updated 4 months ago
- ☆19Updated 2 years ago
- ☆11Updated 2 years ago
- [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers☆21Updated 2 years ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆25Updated 2 years ago
- Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks☆17Updated 5 years ago
- The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …☆18Updated last year
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆48Updated 2 years ago
- This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."☆24Updated 2 years ago
- ☆26Updated 2 years ago
- [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training☆31Updated 3 years ago
- [Machine Learning 2023] Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness☆17Updated 6 months ago
- Code for identifying natural backdoors in existing image datasets.☆15Updated 2 years ago
- Towards Efficient and Effective Adversarial Training, NeurIPS 2021☆17Updated 2 years ago