Výsledky vyhledávání - "Mitra, Reshmi"

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Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network

Autor: Singh, Praneet, Jaykumar, Jishnu, Pankaj, Akhil, Mitra, Reshmi

Edge nodes are crucial for detection against multitudes of cyber attacks on Internet-of-Things endpoints and is set to become part of a multi-billion industry. The resource constraints in this novel network infrastructure tier constricts the deployme

Externí odkaz: http://arxiv.org/abs/2102.01873

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Black-box Adversarial Attacks in Autonomous Vehicle Technology

Autor: Kumar, K Naveen, Vishnu, C, Mitra, Reshmi, Mohan, C Krishna

Despite the high quality performance of the deep neural network in real-world applications, they are susceptible to minor perturbations of adversarial attacks. This is mostly undetectable to human vision. The impact of such attacks has become extreme

Externí odkaz: http://arxiv.org/abs/2101.06092

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Attack Trees for Security and Privacy in Social Virtual Reality Learning Environments

Autor: Valluripally, Samaikya, Gulhane, Aniket, Mitra, Reshmi, Hoque, Khaza Anuarul, Calyam, Prasad

Social Virtual Reality Learning Environment (VRLE) is a novel edge computing platform for collaboration amongst distributed users. Given that VRLEs are used for critical applications (e.g., special education, public safety training), it is important

Externí odkaz: http://arxiv.org/abs/1911.03563

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Security, Privacy and Safety Risk Assessment for Virtual Reality Learning Environment Applications

Autor: Gulhane, Aniket, Vyas, Akhil, Mitra, Reshmi, Oruche, Roland, Hoefer, Gabriela, Valluripally, Samaikya, Calyam, Prasad, Hoque, Khaza Anuarul

Social Virtual Reality based Learning Environments (VRLEs) such as vSocial render instructional content in a three-dimensional immersive computer experience for training youth with learning impediments. There are limited prior works that explored att

Externí odkaz: http://arxiv.org/abs/1811.12476

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