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cs.LG2023
Understanding Variation in Subpopulation Susceptibility to Poisoning Attacks
Evan Rose, Fnu Suya, David Evans
Machine learning is susceptible to poisoning attacks, in which an attacker controls a small fraction of the training data and chooses that data with the goal of inducing some behav…
cs.LG2023
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?
Fnu Suya, Xiao Zhang, Yuan Tian +1
We study indiscriminate poisoning for linear learners where an adversary injects a few crafted examples into the training data with the goal of forcing the induced model to incur h…
cs.LG2023
Manipulating Transfer Learning for Property Inference
Yulong Tian, Fnu Suya, Anshuman Suri +2
Transfer learning is a popular method for tuning pretrained (upstream) models for different downstream tasks using limited data and computational resources. We study how an adversa…