1 code implementation • ECCV 2020 • Xuefeng Hu, Zhihan Zhang, Zhenye Jiang, Syomantak Chaudhuri, Zhenheng Yang, Ram Nevatia
Tehchniques for manipulating images are advancing rapidly; while these are helpful for many useful tasks, they also pose a threat to society with their ability to create believable misinformation.
Ranked #5 on Image Manipulation Localization on Columbia
no code implementations • 19 Oct 2023 • Syomantak Chaudhuri, Konstantin Miagkov, Thomas A. Courtade
As a consequence, users with less but differing privacy requirements are all given more privacy than they require, in equal amounts.
no code implementations • 27 Apr 2023 • Syomantak Chaudhuri, Thomas A. Courtade
Differential Privacy (DP) is a well-established framework to quantify privacy loss incurred by any algorithm.
no code implementations • ICLR 2022 • Naman Agarwal, Syomantak Chaudhuri, Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli
The starting point of our work is the observation that in practice, Q-learning is used with two important modifications: (i) training with two networks, called online network and target network simultaneously (online target learning, or OTL) , and (ii) experience replay (ER) (Mnih et al., 2015).
no code implementations • 7 Mar 2021 • Kamini Sabu, Syomantak Chaudhuri, Preeti Rao, Mahesh Patil
Syllable detection is an important speech analysis task with applications in speech rate estimation, word segmentation, and automatic prosody detection.
no code implementations • 11 Oct 2020 • Ushasi Chaudhuri, Syomantak Chaudhuri, Subhasis Chaudhuri
We deal with the problem of semantic classification of challenging and highly-cluttered dataset.
no code implementations • 1 Sep 2020 • Xuefeng Hu, Zhihan Zhang, Zhenye Jiang, Syomantak Chaudhuri, Zhenheng Yang, Ram Nevatia
We present a novel framework, Spatial Pyramid Attention Network (SPAN) for detection and localization of multiple types of image manipulations.