mopurikreddy has 3 repositories available. Follow their code on GitHub.

Konda Reddy Mopuri Author page based on publicly available paper data. 8. papers with code. 15. papers. 0. results. Research Areas. Knowledge

Konda Reddy Mopuri, Ganeshan, A. and Babu, R.V., 2018. Generalizable data-free objective for crafting universal adversarial perturbations. IEEE transactions on pattern analysis and machine intelligence, 41(10), pp.2452-2465. Dr. Konda Reddy Mopuri (advised by Prof.

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Articles Cited Konda Reddy Mopuri, Phani Krishna Uppala, R. Venkatesh Babu; The European Conference on Computer Vision (ECCV), 2018, pp. 19-34 Abstract Deep learning models are susceptible to input specific noise, called adversarial perturbations. Konda Reddy Mopuri (Preferred) Suggest Name; Emails. Enter email addresses associated with all of your current and historical institutional affiliations, as well as View the profiles of people named Konda Reddy Mopuri. Join Facebook to connect with Konda Reddy Mopuri and others you may know.

developed a deep respect for the honourable prime minister after this speech. Konda Reddy Mopuri. +1. Sarang Grand. Wonderful speech with humble words.

Deep learning models are susceptible to input specific noise, called adversarial perturbations. Konda Reddy Mopuri, works at Samsung R&D Institute - Bangalore Konda Reddy Mopuri. Search for Konda Reddy Mopuri's work.

Konda Reddy Mopuri received the MTech degree from the IIT Kharagpur, India, in 2011. He is currently working towards the PhD degree in the Department of Computational and Data Sciences, Indian Institute of Science (IISc), Bangalore, India, advised by Prof. R. Venkatesh Babu. He worked with Samsung India, Bangalore from 2011 to 2012.

He worked with Samsung India, Bangalore from 2011 to 2012. Konda Reddy Mopuri, Phani Krishna Uppala, R. Venkatesh Babu; Proceedings of the European Conference on Computer Vision (ECCV), 2018, pp. 19-34 Abstract Deep learning models are susceptible to input specific noise, called adversarial perturbations. View Konda Reddy Mopuri’s profile on LinkedIn, the world’s largest professional community. Konda Reddy has 3 jobs listed on their profile.

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This repository contains code to craft and evaluate GD-UAP on the following task: Classification.
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[August 22,2015] Konda Reddy and Srininvas conducted a interactive workshop on Image Analytics using OpenCV at SKCET, Coimbatore, India. [August 12,2015] Invited talk by Ravi Kiran Sarvadevabhatla and Mopuri Konda Reddy at IIIT-Bangalore [July 15,2015] Paper by R.Venkatesh Babu accepted in the Journal of Applied Soft Computing

Konda Reddy Mopuri, Indian Institute of Science, Computational and Data Sciences Department, Graduate Student. I am a Computer Vision and Machine Learning enthusiast. I solve Computer Vision problems using Deep learning techniques. Also, I am MATLAB Central contributions by Konda Reddy Mopuri.

Recent researh efforts show that deep learning models are vulnerable to small but structured perturbations. This quasi-imperceptible noise can fool the state

S Srinivas, RK Sarvadevabhatla, KR Mopuri, N Prabhu, SSS Kruthiventi, Frontiers in Robotics and AI 2, 36, 2016. 182*, 2016. Training sparse neural networks.

Most frequent co-Author Konda Reddy Mopuri is on Facebook. Join Facebook to connect with Konda Reddy Mopuri and others you may know.