Zobrazeno 1 - 10
of 186
pro vyhledávání: '"Bushnell, Linda"'
Autor:
Sahabandu, Dinuka, Ramasubramanian, Bhaskar, Alexiou, Michail, Mertoguno, J. Sukarno, Bushnell, Linda, Poovendran, Radha
This paper introduces a novel reinforcement learning (RL) strategy designed to facilitate rapid autonomy transfer by utilizing pre-trained critic value functions from multiple environments. Unlike traditional methods that require extensive retraining
Externí odkaz:
http://arxiv.org/abs/2407.20466
Autor:
Moothedath, Shana, Sahabandu, Dinuka, Allen, Joey, Bushnell, Linda, Lee, Wenke, Poovendran, Radha
Publikováno v:
In Automatica January 2024 159
This paper studies the control of safety-critical dynamical systems in the presence of adversarial disturbances. We seek to synthesize state-feedback controllers to minimize a cost incurred due to the disturbance, while respecting a safety constraint
Externí odkaz:
http://arxiv.org/abs/2009.09511
A cyber-physical system (CPS) is expected to be resilient to more than one type of adversary. In this paper, we consider a CPS that has to satisfy a linear temporal logic (LTL) objective in the presence of two kinds of adversaries. The first adversar
Externí odkaz:
http://arxiv.org/abs/2007.13272
Autor:
Moothedath, Shana, Sahabandu, Dinuka, Allen, Joey, Bushnell, Linda, Lee, Wenke, Poovendran, Radha
Advanced persistent threats (APTs) are organized prolonged cyberattacks by sophisticated attackers. Although APT activities are stealthy, they interact with the system components and these interactions lead to information flows. Dynamic Information F
Externí odkaz:
http://arxiv.org/abs/2007.12327
This paper studies the synthesis of control policies for an agent that has to satisfy a temporal logic specification in a partially observable environment, in the presence of an adversary. The interaction of the agent (defender) with the adversary is
Externí odkaz:
http://arxiv.org/abs/2007.12501
Autor:
Sahabandu, Dinuka, Moothedath, Shana, Allen, Joey, Bushnell, Linda, Lee, Wenke, Poovendran, Radha
Advanced Persistent Threats (APTs) are stealthy attacks that threaten the security and privacy of sensitive information. Interactions of APTs with victim system introduce information flows that are recorded in the system logs. Dynamic Information Flo
Externí odkaz:
http://arxiv.org/abs/2007.00076
Autor:
Moothedath, Shana, Sahabandu, Dinuka, Allen, Joey, Clark, Andrew, Bushnell, Linda, Lee, Wenke, Poovendran, Radha
Advanced Persistent Threats (APTs) are stealthy customized attacks by intelligent adversaries. This paper deals with the detection of APTs that infiltrate cyber systems and compromise specifically targeted data and/or infrastructures. Dynamic informa
Externí odkaz:
http://arxiv.org/abs/2006.12327
Synchronization is an essential property of engineered and natural networked dynamical systems. The Kuramoto model of nonlinear synchronization has been widely studied in applications including entrainment of clock cells in brain networks and power s
Externí odkaz:
http://arxiv.org/abs/2003.12733