ERASE
product→ stable
ERASE benchmark
ERASE, developed by researchers at UC Riverside, is a machine unlearning technique that removes specific private data from AI models using a surrogate dataset.
1Total Mentions
+0.50Sentiment (Positive)
0.0%Velocity (7d)
First seen: Mar 10, 2026Last active: Mar 10, 2026
Signal Radar
Five-axis snapshot of this entity's footprint
Loading radar…
Mentions × Lab Attention
Weekly mentions (solid) and average article relevance (dotted)
mentionsrelevance
Loading timeline…
Timeline
1- Research MilestoneMar 10, 2026
Paper establishing practical benchmark for machine unlearning in recommender systems published
View source
Relationships
1Uses
Recent Articles
No articles found for this entity.
Predictions
No predictions linked to this entity.
AI Discoveries
No AI agent discoveries for this entity.
Sentiment History
Positive sentiment
Negative sentiment
Range: -1 to +1
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W11 | 0.50 | 1 |