papers
Publications (2)
cs.LG2020
On Detecting Data Pollution Attacks On Recommender Systems Using Sequential GANs
Behzad Shahrasbi, Venugopal Mani, Apoorv Reddy Arrabothu +3
Recommender systems are an essential part of any e-commerce platform. Recommendations are typically generated by aggregating large amounts of user data. A malicious actor may be mo…
cs.CV2021
Semi-Supervised Visual Representation Learning for Fashion Compatibility
Ambareesh Revanur, Vijay Kumar, Deepthi Sharma
We consider the problem of complementary fashion prediction. Existing approaches focus on learning an embedding space where fashion items from different categories that are visuall…