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cs.LG2024
Membership Inference Attacks Against Time-Series Models
Noam Koren, Abigail Goldsteen, Guy Amit +1
Analyzing time-series data that contains personal information, particularly in the medical field, presents serious privacy concerns. Sensitive health data from patients is often us…
cs.LG2024★ 1 cited
SoK: Reducing the Vulnerability of Fine-tuned Language Models to Membership Inference Attacks
Guy Amit, Abigail Goldsteen, Ariel Farkash
Natural language processing models have experienced a significant upsurge in recent years, with numerous applications being built upon them. Many of these applications require fine…