11 citations · 23 across the 13 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CR2018
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…
cs.LG2018★ 11 cited
Adversarial Regression with Multiple Learners
Liang Tong, Sixie Yu, Scott Alfeld +1
Despite the considerable success enjoyed by machine learning techniques in practice, numerous studies demonstrated that many approaches are vulnerable to attacks. An important clas…
cs.MA2018★ 7 cited
Adversarial Classification on Social Networks
Sixie Yu, Yevgeniy Vorobeychik, Scott Alfeld
The spread of unwanted or malicious content through social media has become a major challenge. Traditional examples of this include social network spam, but an important new concer…