18 citations · 43 across the 19 of their papers we have counts for
4 papers · 1 filter
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…
SoK: Pitfalls in Evaluating Black-Box Attacks
Fnu Suya, Anshuman Suri, Tingwei Zhang +3
Numerous works study black-box attacks on image classifiers. However, these works make different assumptions on the adversary's knowledge and current literature lacks a cohesive or…
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…
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…