4 papers
Investigating Human-Identifiable Features Hidden in Adversarial Perturbations
Dennis Y. Menn, Tzu-hsun Feng, Sriram Vishwanath +1
Neural networks perform exceedingly well across various machine learning tasks but are not immune to adversarial perturbations. This vulnerability has implications for real-world a…
LoneSTAR: Analog Beamforming Codebooks for Full-Duplex Millimeter Wave Systems
Ian P. Roberts, Sriram Vishwanath, Jeffrey G. Andrews
This work develops LoneSTAR, a novel enabler of full-duplex millimeter wave (mmWave) communication systems through the design of analog beamforming codebooks. LoneSTAR codebooks de…
A Phase Transition in Large Network Games
Abhishek Shende, Deepanshu Vasal, Sriram Vishwanath
In this paper, we use a model of large random network game where the agents plays selfishly and are affected by their neighbors, to explore the conditions under which the Nash equi…
Master equation of discrete time graphon mean field games and teams
Deepanshu Vasal, Rajesh K Mishra, Sriram Vishwanath
In this paper, we present a sequential decomposition algorithm equivalent of Master equation to compute GMFE of GMFG and graphon optimal Markovian policies (GOMPs) of graphon mean…