Gaurav Kumar Nayak

According to our database, Gaurav Kumar Nayak authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning.

M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, Anirban Chakraborty

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

DAD++: Improved Data-free Test Time Adversarial Defense.

Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty

CoRR, 2023

Federated Learning on Heterogeneous Data via Adaptive Self-Distillation.

M. Yashwanth, Gaurav Kumar Nayak, Arya Singh, Yogesh Singh, Anirban Chakraborty

CoRR, 2023

DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers.

Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization.

Vicente Vivanco Cepeda, Gaurav Kumar Nayak, Mubarak Shah

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DISBELIEVE: Distance Between Client Models Is Very Essential for Effective Local Model Poisoning Attacks.

Indu Joshi, Priyank Upadhya, Gaurav Kumar Nayak, Peter Schüffler, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022

Mining Data Impressions From Deep Models as Substitute for the Unavailable Training Data.

Gaurav Kumar Nayak, Konda Reddy Mopuri, Saksham Jain, Anirban Chakraborty

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition.

Rohit Gupta, Naveed Akhtar, Gaurav Kumar Nayak, Ajmal Mian, Mubarak Shah

CoRR, 2022

Robust Few-shot Learning Without Using any Adversarial Samples.

Gaurav Kumar Nayak, Ruchit Rawal, Inder Khatri, Anirban Chakraborty

CoRR, 2022

Data-free Defense of Black Box Models Against Adversarial Attacks.

Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty

CoRR, 2022

DAD: Data-free Adversarial Defense at Test Time.

Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems.

Gaurav Kumar Nayak, Ruchit Rawal, Rohit Lal, Himanshu Patil, Anirban Chakraborty

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Data Impressions: Mining Deep Models to Extract Samples for Data-free Applications.

Gaurav Kumar Nayak, Konda Reddy Mopuri, Saksham Jain, Anirban Chakraborty

CoRR, 2021

Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation.

Gaurav Kumar Nayak, Konda Reddy Mopuri, Anirban Chakraborty

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Incremental Learning for Animal Pose Estimation using RBF k-DPP.

Gaurav Kumar Nayak, Het Shah, Anirban Chakraborty

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Beyond Classification: Knowledge Distillation using Multi-Object Impressions.

Gaurav Kumar Nayak, Monish Keswani, Sharan Seshadri, Anirban Chakraborty

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images.

Gaurav Kumar Nayak, Saksham Jain, R. Venkatesh Babu, Anirban Chakraborty

Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier.

Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Zero-Shot Knowledge Distillation in Deep Networks.

Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty

Proceedings of the 36th International Conference on Machine Learning, 2019

Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP).

Gaurav Kumar Nayak, Utkarsh Shreemali, R. Venkatesh Babu, Anirban Chakraborty

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019