HanxunH / Detect-CLIP-Backdoor-SamplesLinks
[ICLR2025] Detecting Backdoor Samples in Contrastive Language Image Pretraining
☆13Updated 7 months ago
Alternatives and similar repositories for Detect-CLIP-Backdoor-Samples
Users that are interested in Detect-CLIP-Backdoor-Samples are comparing it to the libraries listed below
Sorting:
- [NeurIPS2023] Black-box Backdoor Defense via Zero-shot Image Purification☆11Updated last year
- ☆12Updated 3 years ago
- official implementation of Towards Robust Model Watermark via Reducing Parametric Vulnerability☆15Updated last year
- Data-Efficient Backdoor Attacks☆18Updated 3 years ago
- Official implementation of the CVPR 2022 paper "Backdoor Attacks on Self-Supervised Learning".☆76Updated last year
- [NeurIPS 2022] "Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets" by Ruisi Cai*, Zhenyu Zh…☆20Updated 3 years ago
- ☆32Updated 3 years ago
- ☆19Updated 3 years ago
- Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)☆44Updated 2 years ago
- Defending against Model Stealing via Verifying Embedded External Features☆38Updated 3 years ago
- ICCV 2021 papers and code focus on adversarial attacks and defense☆11Updated 3 years ago
- ☆24Updated 2 years ago
- ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…☆45Updated 3 years ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- An Embarrassingly Simple Backdoor Attack on Self-supervised Learning☆18Updated last year
- Code for paper "PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking"☆70Updated 3 years ago
- SaTML 2023, 1st place in CVPR’21 Security AI Challenger: Unrestricted Adversarial Attacks on ImageNet.☆27Updated 2 years ago
- PyTorch implementation of our ICLR 2023 paper titled "Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?".☆12Updated 2 years ago
- The implementatin of our ICLR 2021 work: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits☆18Updated 4 years ago
- Code repository for the paper --- [USENIX Security 2023] Towards A Proactive ML Approach for Detecting Backdoor Poison Samples☆30Updated 2 years ago
- Official code for the ICCV2023 paper ``One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training''☆20Updated 2 years ago
- ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"☆38Updated 3 years ago
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆15Updated 2 years ago
- Code for identifying natural backdoors in existing image datasets.☆15Updated 3 years ago
- Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons☆14Updated 2 years ago
- ☆13Updated 3 years ago
- [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset☆48Updated last year
- [CVPR 2024] "Data Poisoning based Backdoor Attacks to Contrastive Learning": official code implementation.☆16Updated 8 months ago
- LiangSiyuan21 / Parallel-Rectangle-Flip-Attack-A-Query-based-Black-box-Attack-against-Object-DetectionA Implementation of ICCV-2021(Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection)☆28Updated 4 years ago
- ☆19Updated 4 years ago