Exploiting trust for resilient hypothesis testing with malicious robots
We develop a resilient binary hypothesis testing frame-work for decision making in
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots
M Cavorsi, OE Akgun, M Yemini… - … on Robotics and …, 2023 - collaborate.princeton.edu
We develop a resilient binary hypothesis testing frame-work for decision making in
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
[PDF][PDF] Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots
M Cavorsi, OE Akgün, M Yemini, A Goldsmith, S Gil - projects.iq.harvard.edu
We develop a resilient binary hypothesis testing framework for decision making in
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
[PDF][PDF] Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots
M Cavorsi, OE Akgün, M Yemini, A Goldsmith, S Gil - researchgate.net
We develop a resilient binary hypothesis testing framework for decision making in
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots
M Cavorsi, OE Akgün, M Yemini, A Goldsmith… - arXiv preprint arXiv …, 2022 - arxiv.org
We develop a resilient binary hypothesis testing framework for decision making in
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots
M Cavorsi, O Eren Akgün, M Yemini… - arXiv e …, 2022 - ui.adsabs.harvard.edu
We develop a resilient binary hypothesis testing framework for decision making in
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
[PDF][PDF] Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots
M Cavorsi, OE Akgün, M Yemini, A Goldsmith, S Gil - react.seas.harvard.edu
We develop a resilient binary hypothesis testing framework for decision making in
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots
M Cavorsi, OE Akgün, M Yemini, A Goldsmith… - arXiv: 2209.12285 …, 2022 - par.nsf.gov
We develop a resilient binary hypothesis testing framework for decision making in
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
[PDF][PDF] Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots
M Cavorsi, OE Akgün, M Yemini, A Goldsmith, S Gil - react.seas.harvard.edu
We develop a resilient binary hypothesis testing framework for decision making in
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
[PDF][PDF] Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots
M Cavorsi, OE Akgün, M Yemini, A Goldsmith, S Gil - researchgate.net
We develop a resilient binary hypothesis testing framework for decision making in
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …