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Samyak Jain
Samyak Jain
Research Fellow at Microsoft Research
Geverifieerd e-mailadres voor itbhu.ac.in - Homepage
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Efficient and effective augmentation strategy for adversarial training
S Addepalli*, S Jain*, RV Babu
Advances in Neural Information Processing Systems 35, 1488-1501, 2022
582022
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks
S Jain*, R Kirk*, ES Lubana*, RP Dick, H Tanaka, E Grefenstette, ...
International Conference on Learning Representations (ICLR), 2024, 2023
572023
Scaling adversarial training to large perturbation bounds
S Addepalli*, S Jain*, G Sriramanan, R Venkatesh Babu
European Conference on Computer Vision, 301-316, 2022
54*2022
Dart: Diversify-aggregate-repeat training improves generalization of neural networks
S Jain*, S Addepalli*, PK Sahu, P Dey, RV Babu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
232023
What makes and breaks safety fine-tuning? a mechanistic study
S Jain, ES Lubana, K Oksuz, T Joy, PHS Torr, A Sanyal, PK Dokania
Advances in Neural Information Processing Systems (NeurIPS), 2024, 2024
102024
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
102021
Towards understanding and improving adversarial robustness of vision transformers
S Jain, T Dutta
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
42024
Understanding and Improving Adversarial Robustness of Deep Neural Networks
S Jain
Indian Institute of Technology (BHU) Varanasi, 2023
2023
Supplementary: Towards Understanding and Improving Adversarial Robustness of Vision Transformers
S Jain, T Dutta
Supplementary: DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
S Jain, S Addepalli, PK Sahu, P Dey, RV Babu
Supplementary Material: Towards Achieving Adversarial Robustness Beyond Perceptual Limits
S Addepalli, S Jain, G Sriramanan, S Khare, RV Babu
Supplementary Material: Scaling Adversarial Training to Large Perturbation Bounds
S Addepalli, S Jain, G Sriramanan, RV Babu
Supplementary Material: Boosting Adversarial Robustness using Feature Level Stochastic Smoothing
S Addepalli, S Jain, G Sriramanan, RV Babu
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Artikelen 1–13