Jeet Mohapatra

According to our database, Jeet Mohapatra authored at least 8 papers between 2018 and 2022.

Collaborative distances:

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

2022

SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data.

Ching-Yun Ko, Pin-Yu Chen, Jeet Mohapatra, Payel Das, Luca Daniel

CoRR, 2022

Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework.

Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng

Proceedings of the International Conference on Machine Learning, 2022

2021

Hidden Cost of Randomized Smoothing.

Jeet Mohapatra, Ching-Yun Ko, Lily Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Rethinking Randomized Smoothing for Adversarial Robustness.

Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Luca Daniel

CoRR, 2020

Higher-Order Certification For Randomized Smoothing.

Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations.

Jeet Mohapatra, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Towards Verifying Robustness of Neural Networks Against Semantic Perturbations.

Jeet Mohapatra, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel

CoRR, 2019

2018

Optimal Gossip Algorithms for Exact and Approximate Quantile Computations.

Bernhard Haeupler, Jeet Mohapatra, Hsin-Hao Su

Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing, 2018