9 citations · 14 across the 3 of their papers we have counts for
4 papers
Practical Scalability for Stackelberg Security Games
Arunesh Sinha, Aaron Schlenker, Donnabell Dmello +1
Stackelberg Security Games (SSGs) have been adopted widely for modeling adversarial interactions. With increasing size of the applications of SSGs, scalability of equilibrium compu…
A Learning and Masking Approach to Secure Learning
Linh Nguyen, Sky Wang, Arunesh Sinha
Deep Neural Networks (DNNs) have been shown to be vulnerable against adversarial examples, which are data points cleverly constructed to fool the classifier. Such attacks can be de…
Program Actions as Actual Causes: A Building Block for Accountability
Anupam Datta, Deepak Garg, Dilsun Kaynar +2
Protocols for tasks such as authentication, electronic voting, and secure multiparty computation ensure desirable security properties if agents follow their prescribed programs. Ho…
Security Games with Information Leakage: Modeling and Computation
Haifeng Xu, Albert X. Jiang, Arunesh Sinha +3
Most models of Stackelberg security games assume that the attacker only knows the defender's mixed strategy, but is not able to observe (even partially) the instantiated pure strat…