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2020 – today
- 2023
[j2]Shraddha Suratkar, Sayali Bhiungade, Jui Pitale, Komal Soni, Tushar Badgujar, Faruk Kazi:
Deep-fake video detection approaches using convolutional - recurrent neural networks. J. Control. Decis. 10(2): 198-214 (2023)- [c3]Apeksha Arun Wadhe, Shraddha Suratkar:
Tourist Place Classification Using Topic Modeling Algorithms. ICCST 2023: 1-10 - 2022
- [j1]Shraddha Suratkar
, Kunjal Shah, Aditya Sood, Anay Loya, Dhaval Bisure, Umesh Patil, Faruk Kazi:
An adaptive honeypot using Q-Learning with severity analyzer. J. Ambient Intell. Humaniz. Comput. 13(10): 4865-4876 (2022) - [c2]Omkar Bhilare, Rahul Singh, Vedant Paranjape, Sravan Chittupalli, Shraddha Suratkar, Faruk Kazi:
DEEPFAKE CLI: Accelerated Deepfake Detection Using FPGAs. PDCAT 2022: 45-56 - [i1]Omkar Bhilare, Rahul Singh, Vedant Paranjape, Sravan Chittupalli, Shraddha Suratkar, Faruk Kazi:
DEEPFAKE CLI: Accelerated Deepfake Detection using FPGAs. CoRR abs/2210.14743 (2022) - 2020
- [c1]Shraddha Suratkar, Elvin Johnson, Karan Variyambat, Mihir Panchal, Faruk Kazi:
Employing Transfer-Learning based CNN architectures to Enhance the Generalizability of Deepfake Detection. ICCCNT 2020: 1-9
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