Vikas Hassija
Biographic Data
| ID | 9440692 |
|---|---|
| NAME | Vikas Hassija |
| GIVEN NAMES | Vikas |
| FAMILY NAME | Hassija |
| SIGNATURE | HASSIJA V |
| AFFILIATIONS | KIIT University |
| ORCID | 0000-0002-3199-8753 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Privacy Utility Tradeoff Between PETs
Data privacy is a critical concern in the digital age. This problem has compounded with the evolution and increased adoption of machine learning (ML), which has necessitated balancing the security of sensitive information with model utility. Traditional data privacy techniques, such as differential privacy and anonymization, focus on protecting data at rest and in transit but often fail to maintain high utility for machine learning models due to …
Interpreting Black-Box Models
Recent years have seen a tremendous growth in Artificial Intelligence (AI)-based methodological development in a broad range of domains. In this rapidly evolving field, large number of methods are being reported using machine learning (ML) and Deep Learning (DL) models. Majority of these models are inherently complex and lacks explanations of the decision making process causing these models to be termed as 'Black-Box'. One of the major bottleneck…
Captionomaly
Real-time video stream monitoring is gaining huge attention lately with an effort to fully automate this process. On the other hand, reporting can be a tedious task, requiring manual inspection of several hours of daily clippings. Errors are likely to occur because of the repetitive nature of the task causing mental strain on operators. There is a need for an automated system that is capable of real-time video stream monitoring in social systems …
Security issues in implantable medical devices
BitFund
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BitFund
Security issues in implantable medical devices
Interpreting Black-Box Models
Recent years have seen a tremendous growth in Artificial Intelligence (AI)-based methodological development in a broad range of domains. In this rapidly evolving field, large number of methods are being reported using machine learning (ML) and Deep Learning (DL) models. Majority of these models are inherently complex and lacks explanations of the decision making process causing these models to be termed as 'Black-Box'. One of the major bottleneck…
Captionomaly
Real-time video stream monitoring is gaining huge attention lately with an effort to fully automate this process. On the other hand, reporting can be a tedious task, requiring manual inspection of several hours of daily clippings. Errors are likely to occur because of the repetitive nature of the task causing mental strain on operators. There is a need for an automated system that is capable of real-time video stream monitoring in social systems …
Privacy Utility Tradeoff Between PETs
Data privacy is a critical concern in the digital age. This problem has compounded with the evolution and increased adoption of machine learning (ML), which has necessitated balancing the security of sensitive information with model utility. Traditional data privacy techniques, such as differential privacy and anonymization, focus on protecting data at rest and in transit but often fail to maintain high utility for machine learning models due to …
Computer Science (5 works) · Computer security (4 works) · Business (3 works) · Internet privacy (2 works) · Machine learning (2 works) · Anomaly detection (1 work) · Anomaly Detection Techniques and Applications (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bidding (1 work)