BS
0000-0003-3306-5671 About
Specialized in Deep learning computer vision problems, DL based video surveillance systems, Machine learning , Image processing, Vulnerabilities in DL and Ml models, Robustness of DL models, Adversarial attacks
Employment
Employment history is unavailable.
Education
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Bennett University P.hD2019 - 2024
Projects & Funding
Projects & funding information is unavailable.
Publications (11)
- Lights, Camera, Adversary: Decoding the Enigmatic World of Malicious Frames in Real-Time Video Surveillance Systems Save
- Threats to medical diagnosis systems: analyzing targeted adversarial attacks in deep learning-based COVID-19 diagnosis Save
- Sophisticated face mask dataset: a novel dataset for effective coronavirus disease surveillance Save
- Robust Medical Diagnosis: A Novel Two-Phase Deep Learning Framework for Adversarial Proof Disease Detection in Radiology Images Save
- Removing Adversarial Noise in X-ray Images via Total Variation Minimization and Patch-Based Regularization for Robust Deep Learning-based Diagnosis Save
- White-box inference attack: compromising the security of deep learning-based COVID-19 diagnosis systems Save
- Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection System Save
- Unlocking adversarial transferability: a security threat towards deep learning-based surveillance systems via black box inference attack- a case study on face mask surveillance Save
- Beyond accuracy and precision: a robust deep learning framework to enhance the resilience of face mask detection models against adversarial attacks Save
- Untargeted white-box adversarial attack to break into deep learning based COVID-19 monitoring face mask detection system Save