7 citations · 43 across the 68 of their papers we have counts for
10 papers · 1 filter
Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
The large size of DNNs poses a significant challenge for deployment on devices with limited resources, such as mobile, edge, and IoT platforms. To address this issue, a distributed…
Improving Discovery of Known Software Vulnerability For Enhanced Cybersecurity
Devesh Sawant, Manjesh K. Hanawal, Atul Kabra
Software vulnerabilities are commonly exploited as attack vectors in cyberattacks. Hence, it is crucial to identify vulnerable software configurations early to apply preventive mea…
Fingerprinting of Machines in Critical Systems for Integrity Monitoring and Verification
Prakhar Paliwal, Arjun Sable, Manjesh K. Hanawal
As cyber threats continue to evolve and diversify, it has become increasingly challenging to identify the root causes of security breaches that occur between periodic security asse…
A Multi-Functional Web Tool for Comprehensive Threat Detection Through IP Address Analysis
Cebajel Tanan, Sameer G. Kulkarni, Tamal Das +1
In recent years, the advances in digitalisation have also adversely contributed to the significant rise in cybercrimes. Hence, building the threat intelligence to shield against ri…
Distributed Inference on Mobile Edge and Cloud: An Early Exit based Clustering Approach
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
Recent advances in Deep Neural Networks (DNNs) have demonstrated outstanding performance across various domains. However, their large size is a challenge for deployment on resource…
CAPEEN: Image Captioning with Early Exits and Knowledge Distillation
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
Deep neural networks (DNNs) have made significant progress in recognizing visual elements and generating descriptive text in image-captioning tasks. However, their improved perform…
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
Pre-trained Language Models (PLMs) exhibit good accuracy and generalization ability across various tasks using self-supervision, but their large size results in high inference late…
CEEBERT: Cross-Domain Inference in Early Exit BERT
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
Pre-trained Language Models (PLMs), like BERT, with self-supervision objectives exhibit remarkable performance and generalization across various tasks. However, they suffer in infe…
FAIR: Filtering of Automatically Induced Rules
Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal +1
The availability of large annotated data can be a critical bottleneck in training machine learning algorithms successfully, especially when applied to diverse domains. Weak supervi…
I-SplitEE: Image classification in Split Computing DNNs with Early Exits
Divya Jyoti Bajpai, Aastha Jaiswal, Manjesh Kumar Hanawal
The recent advances in Deep Neural Networks (DNNs) stem from their exceptional performance across various domains. However, their inherent large size hinders deploying these networ…