drimpossible / corrective-unlearning-benchLinks
☆21Updated 9 months ago
Alternatives and similar repositories for corrective-unlearning-bench
Users that are interested in corrective-unlearning-bench are comparing it to the libraries listed below
Sorting:
- ☆58Updated 5 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆81Updated last year
- ☆49Updated last year
- Certified Removal from Machine Learning Models☆69Updated 4 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆23Updated 6 months ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆54Updated 2 years ago
- Methods for removing learned data from neural nets and evaluation of those methods☆38Updated 5 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆59Updated 2 years ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆27Updated last year
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆47Updated 3 years ago
- ☆44Updated 2 years ago
- PyTorch implementations of Adversarial defenses and utils.☆34Updated last year
- Camouflage poisoning via machine unlearning☆18Updated 5 months ago
- ☆53Updated 2 years ago
- ☆32Updated last year
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated 2 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆52Updated 3 years ago
- ☆26Updated 6 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆72Updated last year
- ☆32Updated 2 years ago
- ☆196Updated 2 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆39Updated 6 years ago
- Official implementation of the CVPR 2022 paper "Backdoor Attacks on Self-Supervised Learning".☆76Updated 2 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆98Updated 3 years ago
- ☆37Updated 4 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆32Updated 2 years ago
- ☆88Updated 2 years ago
- ☆32Updated 3 years ago
- The collection of papers about Private Evolution☆17Updated last month