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ViVE VIrtual Prototyping platform

August 25, 2023

[April 2023] Paper by Rafiul Kabir and Bhagawat Yedla on the ViVE VIrtual Prototyping platform has been accepted at IEEE IoT journal. Congratulations Rafiul and Bhagawat!

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IoT-based monitoring for functional safety of automotive suspension

August 25, 2023

[April 2023] Paper by Bhagawat Yedla, Rafiul Kabir, and Sumaiya Afroz Mila on the use of IoT-based monitoring for functional safety of automotive suspension has been accepted in eARTS 2023. Congratulations Bhagawat, Rafiul, and Mila!

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Virtual Prototyping of Cyber-physical systems

August 25, 2023

[March 2023] Rafiul Kabir’s survey paper on Virtual Prototyping of Cyber-physical systems has been accepted in IEEE Access. Congratulations Rafiul!

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ViVE platform for exploring security scenarios

August 25, 2023

[March 2023] Rafiul Kabir’s work on the use of ViVE platform for exploring security scenarios has been accepted at DCAS 2023. Congratulations Rafiul!

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VR technology for exploring automotive sensor attacks

August 25, 2023

[March 2023] Richard Owoputi and Rafiul Kabir’s work on the use of VR technology for exploring automotive sensor attacks has been accepted at iLRN 2023. Congratulations Richard and Rafiul!

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Security of 3DIC Integration

August 25, 2023

[February 2023] Our work on security of 3DIC Integration in collaboration with Nanoscape Research Lab has been accepted at IEEE TC.

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REU Press

August 25, 2023

[February 2023] Our REU site on Secure, Sustainable Transportation got some press in Nelms, ECE, and UFTI social media. See here and here.

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Real-time detection of evasion attacks in ML systems

August 25, 2023

[January 2023] Xiangru Chen’s paper on real-time detection of evasion attacks in ML systems has been accepted at ISCAS 2023. Congratulations Xiangru!

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REU Website

August 25, 2023

[January 2023] Website for REU Site on Secure, Accessible, and Sustainable Transportation is up. See here.

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Evaluating Robustness of Deep Learning Networks

August 25, 2023

[December 2022] Paper by Xiangu Chen, Jiaqi Zhang, and Maneesh Merugu on evaluating robustness of Deep Learning Networks against stealthy integrity attacks was accepted in ACM JETC. Congratulations Xiangru, Jiaqi, and Maneesh!

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