48 citations · 187 across the 13 of their papers we have counts for
4 papers · 1 filter
Training Set Camouflage
Ayon Sen, Scott Alfeld, Xuezhou Zhang +3
We introduce a form of steganography in the domain of machine learning which we call training set camouflage. Imagine Alice has a training set on an illicit machine learning classi…
Adversarial Attacks on Stochastic Bandits
Kwang-Sung Jun, Lihong Li, Yuzhe Ma +1
We study adversarial attacks that manipulate the reward signals to control the actions chosen by a stochastic multi-armed bandit algorithm. We propose the first attack against two…
Data Poisoning Attacks in Contextual Bandits
Yuzhe Ma, Kwang-Sung Jun, Lihong Li +1
We study offline data poisoning attacks in contextual bandits, a class of reinforcement learning problems with important applications in online recommendation and adaptive medical…
Teacher Improves Learning by Selecting a Training Subset
Yuzhe Ma, Robert Nowak, Philippe Rigollet +2
We call a learner super-teachable if a teacher can trim down an iid training set while making the learner learn even better. We provide sharp super-teaching guarantees on two learn…