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Gaurang Sriramanan
Gaurang Sriramanan
PhD Student, University of Maryland, College Park
Geverifieerd e-mailadres voor umd.edu
Titel
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Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
G Sriramanan, S Addepalli, A Baburaj, RV Babu
Advances in Neural Information Processing Systems, 2020, 2020
582020
Towards Efficient and Effective Adversarial Training
G Sriramanan, S Addepalli, A Baburaj, VB Radhakrishnan
Advances in Neural Information Processing Systems, 2021, 2021
342021
Towards achieving adversarial robustness by enforcing feature consistency across bit planes
S Addepalli, V BS, A Baburaj, G Sriramanan, RV Babu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
342020
Towards Achieving Adversarial Robustness Beyond Perceptual Limits
S Addepalli, S Jain, G Sriramanan, VB Radhakrishnan
182021
Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing
S Addepalli, S Jain, G Sriramanan, RV Babu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
82021
Scaling Adversarial Training to Large Perturbation Bounds
S Addepalli, S Jain, G Sriramanan, R Venkatesh Babu
European Conference on Computer Vision, 301-316, 2022
62022
Toward Efficient Robust Training against Union of Lp Threat Models
G Sriramanan, M Gor, S Feizi
Advances in Neural Information Processing Systems, 2022, Oral Paper at New …, 2022
12022
Efficient Training Methods for Achieving Adversarial Robustness Against Sparse Attacks
S Addepalli, D Behl, G Sriramanan, RV Babu
2021
Supplementary material: Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes
S Addepalli, V BS, A Baburaj, G Sriramanan, RV Babu
Supplementary material Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
G Sriramanan, S Addepalli, A Baburaj, RV Babu
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Artikelen 1–10