activity
20192021
most citedExplainable AI: current status and future directions

78 citations · 82 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CR2021★ 3 cited

Image-Hashing-Based Anomaly Detection for Privacy-Preserving Online Proctoring

Waheeb Yaqub, Manoranjan Mohanty, Basem Suleiman

Online proctoring has become a necessity in online teaching. Video-based crowd-sourced online proctoring solutions are being used, where an exam-taking student's video is monitored…

cs.LG2021★ 78 cited

Explainable AI: current status and future directions

Prashant Gohel, Priyanka Singh, Manoranjan Mohanty

Explainable Artificial Intelligence (XAI) is an emerging area of research in the field of Artificial Intelligence (AI). XAI can explain how AI obtained a particular solution (e.g.,…

cs.CR2021

SSS-PRNU: Privacy-Preserving PRNU Based Camera Attribution using Shamir Secret Sharing

Riyanka Jena, Priyanka Singh, Manoranjan Mohanty

Photo Response Non-Uniformity(PRNU) noise has proven to be very effective tool in camera based forensics. It helps to match a photo to the device that clicked it. In today's scenar…

cs.CR2020★ 1 cited

Towards Seamless Authentication for Zoom-Based Online Teaching and Meeting

Manoranjan Mohanty, Waheeb Yaqub

The lockdowns and travel restrictions in current coronavirus pandemic situation has replaced face-to-face teaching and meeting with online teaching and meeting. Recently, the video…

cs.MM2019

Camera Fingerprint Extraction via Spatial Domain Averaged Frames

Samet Taspinar, Manoranjan Mohanty, Nasir Memon

Photo Response Non-Uniformity (PRNU) based camera attribution is an effective method to determine the source camera of visual media (an image or a video). To apply this method, ima…

cs.MM2019

Source Camera Attribution of Multi-Format Devices

Samet Taspinar, Manoranjan Mohanty, Nasir Memon

Photo Response Non-Uniformity (PRNU) based source camera attribution is an effective method to determine the origin camera of visual media (an image or a video). However, given tha…