illidanlab / inversion-influence-functionLinks
Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023
☆16Updated 2 years ago
Alternatives and similar repositories for inversion-influence-function
Users that are interested in inversion-influence-function are comparing it to the libraries listed below
Sorting:
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆81Updated last year
- ☆24Updated 3 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆61Updated 3 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆58Updated 2 years ago
- Camouflage poisoning via machine unlearning☆17Updated 4 months ago
- ☆13Updated last year
- ☆31Updated 3 years ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆42Updated last year
- [ICML 2022 / ICLR 2024] Source code for our papers "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be C…☆45Updated 3 months ago
- ☆10Updated 3 years ago
- ☆26Updated 3 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆72Updated last year
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆26Updated last year
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆23Updated 2 years ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆17Updated 3 years ago
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Updated 2 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 …☆19Updated 2 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆84Updated 2 years ago
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆36Updated 2 weeks ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 3 years ago
- [NDSS 2025] CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling☆14Updated 9 months ago
- ☆49Updated last year
- ☆26Updated last year
- This repo implements several algorithms for learning with differential privacy.☆110Updated 2 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)☆39Updated last year
- ☆20Updated 3 weeks ago
- ☆70Updated 3 years ago
- Code for Backdoor Attacks Against Dataset Distillation☆35Updated 2 years ago
- This is the code repository of our submission: Understanding the Dark Side of LLMs’ Intrinsic Self-Correction.☆63Updated 10 months ago