3 citations · 3 across the 6 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.LG2024
Fragile Giants: Understanding the Susceptibility of Models to Subpopulation Attacks
Isha Gupta, Hidde Lycklama, Emanuel Opel +2
As machine learning models become increasingly complex, concerns about their robustness and trustworthiness have become more pressing. A critical vulnerability of these models is d…
cs.CR2024
UTrace: Poisoning Forensics for Private Collaborative Learning
Evan Rose, Hidde Lycklama, Harsh Chaudhari +3
Privacy-preserving machine learning (PPML) systems enable multiple data owners to collaboratively train models without revealing their raw, sensitive data by leveraging cryptograph…