zhxchd / SDAR_SplitNNLinks
Code for NDSS '25 paper "Passive Inference Attacks on Split Learning via Adversarial Regularization"
☆11Updated last year
Alternatives and similar repositories for SDAR_SplitNN
Users that are interested in SDAR_SplitNN are comparing it to the libraries listed below
Sorting:
- ☆65Updated 2 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆24Updated 3 years ago
- ☆13Updated last year
- Code related to the paper "Machine Unlearning of Features and Labels"☆71Updated last year
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆61Updated 10 months ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆17Updated 3 years ago
- ☆70Updated 3 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆84Updated 2 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆61Updated 3 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆75Updated 2 years ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆42Updated last month
- Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).☆22Updated 3 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆24Updated last year
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated 2 years ago
- Self-Teaching Notes on Gradient Leakage Attacks against GPT-2 models.☆13Updated last year
- SaTML'23 paper "Backdoor Attacks on Time Series: A Generative Approach" by Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, and James Bail…☆20Updated 2 years ago
- [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"☆208Updated 5 months ago
- ☆55Updated 2 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆58Updated 2 years ago
- [NDSS 2025] CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling☆14Updated 9 months ago
- [Oakland 2024] Exploring the Orthogonality and Linearity of Backdoor Attacks☆26Updated 6 months ago
- Methods for removing learned data from neural nets and evaluation of those methods☆38Updated 4 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆81Updated last year
- Code for Backdoor Attacks Against Dataset Distillation☆35Updated 2 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 3 years ago
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆43Updated 10 months ago
- Code for ML Doctor☆91Updated last year
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆26Updated 11 months ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago