75 citations · 202 across the 18 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.LG2024
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
Zhenlong Liu, Lei Feng, Huiping Zhuang +2
Machine learning models are susceptible to membership inference attacks (MIAs), which aim to infer whether a sample is in the training set. Existing work utilizes gradient ascent t…
cs.LG2024
Does confidence calibration improve conformal prediction?
Huajun Xi, Jianguo Huang, Kangdao Liu +2
Conformal prediction is an emerging technique for uncertainty quantification that constructs prediction sets guaranteed to contain the true label with a predefined probability. Pre…