cure-lab / ContraNet
This is the official implementation of ContraNet (NDSS2022).
☆18Updated last year
Related projects ⓘ
Alternatives and complementary repositories for ContraNet
- A curated list of papers for the transferability of adversarial examples☆55Updated 4 months ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆47Updated 2 years ago
- The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consist…☆19Updated last year
- Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)☆33Updated last year
- ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…☆41Updated 2 years ago
- Adversarial Robustness, White-box, Adversarial Attack☆50Updated 2 years ago
- The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferabili…☆15Updated 3 months ago
- Revisiting Transferable Adversarial Images (arXiv)☆114Updated last month
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated last year
- This is the official implementation of our paper Untargeted Backdoor Attack against Object Detection.☆22Updated last year
- APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)☆27Updated last week
- The code of our AAAI 2021 paper "Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-transform Domain"☆14Updated 3 years ago
- ☆10Updated 8 months ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆50Updated 2 years ago
- ☆11Updated last year
- ☆26Updated 5 months ago
- Towards Efficient and Effective Adversarial Training, NeurIPS 2021☆16Updated 2 years ago
- ☆17Updated 2 years ago
- A Leaderboard for Certifiable Robustness against Adversarial Patch Attacks☆21Updated last year
- [ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.☆16Updated 8 months ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆31Updated 2 months ago
- [NeurIPS 2023] Boosting Adversarial Transferability by Achieving Flat Local Maxima☆27Updated 8 months ago
- This is the repository for USENIX Security 2023 paper "Hard-label Black-box Universal Adversarial Patch Attack".☆14Updated last year
- Decision-based Adversarial Attack with Frequency Mixup☆21Updated last year
- ☆60Updated 9 months ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆27Updated 3 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆28Updated 2 years ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆24Updated this week
- 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 3 years ago
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆28Updated 2 years ago