"Amnesia" - A Selection of Machine Learning Models That Can Forget User Data Very Fast
Summary: Amnesia: efficient decremental update algorithms that remove a user’s contribution from trained ML models without re-accessing original training data, enabling fast compliance with right-to-be-forgotten. Rust implementations for four common ML methods show orders-of-magnitude speedups on nine real datasets and outline Differential Dataflow parallelization plus limitations. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,806 | HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning | 2021 | SIGMOD | 6.7492837e-05 |
| 4,774 | LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems | 2021 | SIGMOD | 5.9316087e-05 |
| 7,489 | DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning | 2023 | SIGMOD | 4.7180617e-05 |
| 7,704 | ExDRa: Exploratory Data Science on Federated Raw Data | 2021 | SIGMOD | 4.6733838e-05 |
| 11,096 | Snapcase – Regain Control over Your Predictions with Low-Latency Machine Unlearning | 2024 | VLDB | 4.1945683e-05 |
| 11,310 | Screening Native ML Pipelines with “ArgusEyes” | 2022 | CIDR | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 34 | Similarity Search in High Dimensions via Hashing | 1999 | VLDB | 0.00076637636 |
| 522 | Differential dataflow | 2013 | CIDR | 0.00021099241 |
| 2,172 | Spinning Fast Iterative Data Flows | 2012 | VLDB | 9.3706587e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,838 | New Trends in Data Forgetting for Sustainable Data Management | 2025 | VLDB | 4.1945683e-05 |
| 10,676 | Meaningful Data Erasure in the Presence of Dependencies | 2025 | VLDB | 4.1945683e-05 |
| 3,806 | HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning | 2021 | SIGMOD | 6.7492837e-05 |
| 11,096 | Snapcase – Regain Control over Your Predictions with Low-Latency Machine Unlearning | 2024 | VLDB | 4.1945683e-05 |
| 10,499 | Privacy and Accuracy-Aware AI/ML Model Deduplication | 2025 | SIGMOD | 4.1945683e-05 |
| 10,116 | Stochastic Submodular Data Forgetting | 2026 | SIGMOD | 4.1945683e-05 |
| 6,178 | A Database System with Amnesia | 2017 | CIDR | 5.1692384e-05 |
| 7,489 | DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning | 2023 | SIGMOD | 4.7180617e-05 |
| 9,852 | Machine Unlearning in Learned Databases: An Experimental Analysis | 2024 | SIGMOD | 4.2714575e-05 |
| 8,901 | On the Feasibility of Forgetting in Data Streams | 2024 | PODS | 4.427232e-05 |