10 citations · 16 across the 3 of their papers we have counts for
3 papers
Online and Bandit Algorithms for Nonstationary Stochastic Saddle-Point Optimization
Abhishek Roy, Yifang Chen, Krishnakumar Balasubramanian +1
Saddle-point optimization problems are an important class of optimization problems with applications to game theory, multi-agent reinforcement learning and machine learning. A majo…
Strong Black-box Adversarial Attacks on Unsupervised Machine Learning Models
Anshuman Chhabra, Abhishek Roy, Prasant Mohapatra
Machine Learning (ML) and Deep Learning (DL) models have achieved state-of-the-art performance on multiple learning tasks, from vision to natural language modelling. With the growi…
When to Reset Your Keys: Optimal Timing of Security Updates via Learning
Zizhan Zheng, Ness B. Shroff, Prasant Mohapatra
Cybersecurity is increasingly threatened by advanced and persistent attacks. As these attacks are often designed to disable a system (or a critical resource, e.g., a user account)…