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Nayak, GK and Rawal, R and Chakraborty, A (2023) DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers. In: 23rd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, 3 - 7 January 2023, Waikoloa, pp. 4611-4620.
Nayak, GK and Rawal, R and Lal, R and Patil, H and Chakraborty, A (2022) Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems. In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022, 19 - 20 June 2022, New Orleans, pp. 4331-4340.
Nayak, GK and Rawal, R and Chakraborty, A (2022) DAD: Data-free Adversarial Defense at Test Time. In: 22nd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, 4 - 8 January 2022, Waikoloa, pp. 3788-3797.
Nayak, GK and Shah, H and Chakraborty, A (2021) Incremental Learning for Animal Pose Estimation using RBF k-DPP. In: UNSPECIFIED.
Addepalli, S and Nayak, GK and Chakraborty, A and Babu, RV (2020) Degan: Data-enriching gan for retrieving representative samples from a trained classifier. In: AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, 7 - 12 February 2020, New York, pp. 3130-3137.
Nayak, GK and Shreemali, U and Babu, RV and Chakraborty, A (2019) Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP). In: 26th IEEE International Conference on Image Processing, ICIP 2019, 22 - 25 September 2019, Taipei, pp. 4569-4573.
Nayak, GK and Mopuri, KR and Shaj, V and Venkatesh Babu, R and Chakraborty, A (2019) Zero-shot knowledge distillation in deep networks. In: 36th International Conference on Machine Learning, ICML 2019, 9 -15 June 2019, Long Beach; United States, pp. 8317-8325.
