Author(s) | Title | Venue |
---|---|---|
Chen et al. | Recommendation Unlearning | TheWebConf |
Fu et al. | Knowledge Removal in Sampling-based Bayesian Inference | ICLR |
Liu et al. | Backdoor Defense with Machine Unlearning | INFOCOM |
Marchant et al. | Hard to Forget: Poisoning Attacks on Certified Machine Unlearning | AAAI |
Wang et al. | Federated Unlearning via Class-Discriminative Pruning | WWW |
Chundawat et al. | Zero-Shot Machine Unlearning | arXiv |
Dai et al. | Knowledge Neurons in Pretrained Transformers | arXiv |
Goel et al. | Evaluating Inexact Unlearning Requires Revisiting Forgetting | arXiv |
Tarun et al. | Fast Yet Effective Machine Unlearning | arXiv |
Wu et al. | Federated Unlearning with Knowledge Distillation | arXiv |
Author(s) | Title | Venue |
---|---|---|
Chen et al. | A Novel Online Incremental and Decremental Learning Algorithm Based on Variable Support Vector Machine | Cluster Computing |
Ginart et al. | Making AI Forget You: Data Deletion in Machine Learning | NeurIPS |
Schelter | “Amnesia” – Towards Machine Learning Models That Can Forget User Data Very Fast | AIDB |
Shintre et al. | Making Machine Learning Forget | APF |
Du et al. | Lifelong Anomaly Detection Through Unlearning | CCS |
Wang et al. | Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks | S&P |
Author(s) | Title | Venue |
---|---|---|
Cao et al. | Efficient Repair of Polluted Machine Learning Systems via Causal Unlearning | ASIACCS |
European Union | GDPR | |
State of California | California Consumer Privacy Act | |
Veale et al. | Algorithms that remember: model inversion attacks and data protection law | The Royal Society |
Villaronga et al. | Humans Forget, Machines Remember: Artificial Intelligence and the Right to Be Forgotten | Computer Law & Security Review |
Author(s) | Title | Venue |
---|---|---|
Kwak et al. | Let Machines Unlearn--Machine Unlearning and the Right to be Forgotten | SIGSEC |
Shokri et al. | Membership Inference Attacks Against Machine Learning Models | S&P |
Author(s) | Title | Venue |
---|---|---|
Cao and Yang | Towards Making Systems Forget with Machine Unlearning | S&P 2015 |
Tsai et al. | Incremental and decremental training for linear classification | KDD 2014 |
Karasuyama and Takeuchi | Multiple Incremental Decremental Learning of Support Vector Machines | NeurIPS 2009 |
Duan et al. | Decremental Learning Algorithms for Nonlinear Langrangian and Least Squares Support Vector Machines | OSB 2007 |
Romero et al. | Incremental and Decremental Learning for Linear Support Vector Machines | ICANN 2007 |
Tveit et al. | Incremental and Decremental Proximal Support Vector Classification using Decay Coefficients | DaWaK 2003 |
Tveit and Hetland | Multicategory Incremental Proximal Support Vector Classifiers | KES 2003 |
Cauwenberghs and Poggio | Incremental and Decremental Support Vector Machine Learning | NeurIPS 2001 |
Canada | PIPEDA | 2000 |