Object level deep feature pooling for compact image representation. - Konda Reddy Mopuri; R. Venkatesh Babu (CVPR Workshops, 2015)

A Taxonomy of Deep Convolutional Neural Nets for Computer Vision. - Suraj Srinivas; Ravi Kiran Sarvadevabhatla; Konda Reddy Mopuri; Nikita Prabhu; Srinivas S. S. Kruthiventi; R. Venkatesh Babu (Frontiers Robotics AI, 2015)

Towards semantic visual representation: augmenting image representation with natural language descriptors. - Konda Reddy Mopuri; R. Venkatesh Babu (ICVGIP, 2016)

An Introduction to Deep Convolutional Neural Nets for Computer Vision. - Suraj Srinivas; Ravi Kiran Sarvadevabhatla; Konda Reddy Mopuri; Nikita Prabhu; Srinivas S. S. Kruthiventi; R. Venkatesh Babu (Deep Learning for Medical Image Analysis, 2017)

Fast Feature Fool: A data independent approach to universal adversarial perturbations. - Konda Reddy Mopuri; Utsav Garg; Venkatesh Babu Radhakrishnan (BMVC, 2017)

Deep image representations using caption generators. - Konda Reddy Mopuri; Vishal B. Athreya; R. Venkatesh Babu (CoRR, 2017)

NAG: Network for Adversary Generation. - Konda Reddy Mopuri; Utkarsh Ojha; Utsav Garg; R. Venkatesh Babu (CVPR, 2018)

Ask, Acquire, and Attack: Data-Free UAP Generation Using Class Impressions. - Konda Reddy Mopuri; Phani Krishna Uppala; R. Venkatesh Babu (ECCV (9), 2018)

Gray-Box Adversarial Training. - Vivek B. S.; Konda Reddy Mopuri; R. Venkatesh Babu (ECCV (15), 2018)

BatchOut: Batch-level feature augmentation to improve robustness to adversarial examples. - Akshayvarun Subramanya; Konda Reddy Mopuri; R. Venkatesh Babu (ICVGIP, 2018)

Learning Representations with Strong Supervision for Image Search. - Konda Reddy Mopuri; Vishal B. Athreya; R. Venkatesh Babu (SPCOM, 2018)

Zero-Shot Knowledge Distillation in Deep Networks. - Gaurav Kumar Nayak; Konda Reddy Mopuri; Vaisakh Shaj; Venkatesh Babu Radhakrishnan; Anirban Chakraborty 001 (ICML, 2019)

Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations. - Konda Reddy Mopuri; Aditya Ganeshan; R. Venkatesh Babu (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

CNN Fixations: An Unraveling Approach to Visualize the Discriminative Image Regions. - Konda Reddy Mopuri; Utsav Garg; R. Venkatesh Babu (IEEE Trans. Image Process., 2019)

Adversarial Fooling Beyond "Flipping the Label". - Konda Reddy Mopuri; Vaisakh Shaj; R. Venkatesh Babu (CVPR Workshops, 2020)

iDLG: Improved Deep Leakage from Gradients. - Bo Zhao; Konda Reddy Mopuri; Hakan Bilen (CoRR, 2020)

Dataset Condensation with Gradient Matching. - Bo Zhao; Konda Reddy Mopuri; Hakan Bilen (ICLR, 2021)

Class balancing GAN with a classifier in the loop. - Harsh Rangwani; Konda Reddy Mopuri; R. Venkatesh Babu (UAI, 2021)

Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation. - Gaurav Kumar Nayak; Konda Reddy Mopuri; Anirban Chakraborty 001 (WACV, 2021)

Data Impressions: Mining Deep Models to Extract Samples for Data-free Applications. - Gaurav Kumar Nayak; Konda Reddy Mopuri; Saksham Jain; Anirban Chakraborty 001 (CoRR, 2021)

Adv-Cut Paste: Semantic adversarial class specific data augmentation technique for object detection. - Arun Kumar Sivapuram; Abhijit Pal; Konda Reddy Mopuri; Rama Krishna Gorthi (ICPR, 2022)

Mining Data Impressions From Deep Models as Substitute for the Unavailable Training Data. - Gaurav Kumar Nayak; Konda Reddy Mopuri; Saksham Jain; Anirban Chakraborty 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation. - Gaurav Patel; Konda Reddy Mopuri; Qiang Qiu 001 (CVPR, 2023)

Lost in Context: The Influence of Context on Feature Attribution Methods for Object Recognition. - Sayanta Adhikari; Rishav Kumar; Konda Reddy Mopuri; Rajalakshmi Pachamuthu (ICVGIP, 2024)

The Illusion of Unlearning: The Unstable Nature of Machine Unlearning in Text-to-Image Diffusion Models. - Naveen George; Karthik Nandan Dasaraju; Rutheesh Reddy Chittepu; Konda Reddy Mopuri (CVPR, 2025)

Rel-SA: Alzheimer's Disease Detection using Relevance-augmented Self Attention by Inducing Domain Priors in Vision Transformers. - Madhumitha V; Sunayna Padhye; Shanawaj S. Madarkar; Susmit Agrawal; Konda Reddy Mopuri (CVPR Workshops, 2025)

FaAlGrad: Fairness through Alignment of Gradients across Different Subpopulations. - Nikita Malik; Konda Reddy Mopuri (Trans. Mach. Learn. Res., 2025)

Noise-free Loss Gradients: A Surprisingly Effective Baseline for Coreset Selection. - Saumyaranjan Mohanty; Chimata Anudeep; Konda Reddy Mopuri (Trans. Mach. Learn. Res., 2025)

DermaCon-IN: A Multi-concept Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research. - Shanawaj S. Madarkar; Mahajabeen Madarkar; Madhumitha V; Teli Prakash; Konda Reddy Mopuri; Vinaykumar MV; KVL Sathwika; Adarsh Kasturi; Gandla Dilip Raj; Prashanth PVN; Harsh Udai (CoRR, 2025)