LukasStruppek / Plug-and-Play-Attacks
[ICML 2022 / ICLR 2024] Source code for our papers "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be Careful What You Smooth For".
☆42Updated 9 months ago
Alternatives and similar repositories for Plug-and-Play-Attacks
Users that are interested in Plug-and-Play-Attacks are comparing it to the libraries listed below
Sorting:
- ☆44Updated last year
- [CVPR-2023] Re-thinking Model Inversion Attacks Against Deep Neural Networks☆40Updated last year
- [KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"☆25Updated last month
- Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021☆22Updated 3 years ago
- ☆31Updated 4 years ago
- [AAAI 2023] Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network☆29Updated 7 months ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆49Updated 2 years ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆34Updated 8 months ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- Defending against Model Stealing via Verifying Embedded External Features☆36Updated 3 years ago
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆30Updated 3 years ago
- [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset☆49Updated last year
- ☆69Updated 2 years ago
- This is the official implementation of our paper 'Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protecti…☆55Updated last year
- ☆31Updated 3 years ago
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆35Updated 6 months ago
- Pytorch implementation of backdoor unlearning.☆18Updated 2 years ago
- ☆26Updated 2 years ago
- Code for Backdoor Attacks Against Dataset Distillation☆34Updated 2 years ago
- ☆24Updated 2 years ago
- Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems☆27Updated 4 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆81Updated last year
- ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…☆44Updated 3 years ago
- Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness☆30Updated 2 years ago
- [ICCV-2023] Gradient inversion attack, Federated learning, Generative adversarial network.☆38Updated 10 months ago
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated last year
- [CVPRW'22] A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.☆12Updated 2 years ago
- Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)☆41Updated 2 years ago
- ☆19Updated 7 months ago
- ☆25Updated 2 years ago