drimpossible / corrective-unlearning-benchLinks
☆18Updated 5 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:
- ☆57Updated 5 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆76Updated last year
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆50Updated 2 years ago
- ☆53Updated 2 years ago
- Certified Removal from Machine Learning Models☆67Updated 3 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆22Updated 2 months ago
- ☆46Updated 11 months ago
- ☆31Updated 2 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated 2 years ago
- Camouflage poisoning via machine unlearning☆17Updated last month
- OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024☆22Updated last year
- ☆25Updated 6 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆58Updated 2 years ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆26Updated 8 months ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆31Updated last year
- ☆32Updated 11 months ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- ☆33Updated last year
- Methods for removing learned data from neural nets and evaluation of those methods☆36Updated 4 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆37Updated 6 years ago
- ☆12Updated 2 years ago
- Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)☆39Updated last year
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆36Updated 9 months ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆39Updated 4 years ago
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated last year
- Official implementation of the CVPR 2022 paper "Backdoor Attacks on Self-Supervised Learning".☆74Updated last year
- How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)☆13Updated 4 years ago
- ☆32Updated 3 years ago
- ☆191Updated last year