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Sravanti Addepalli

ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations

Jun 09, 2024
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Distilling from Vision-Language Models for Improved OOD Generalization in Vision Tasks

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Oct 12, 2023
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Boosting Adversarial Robustness using Feature Level Stochastic Smoothing

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Jun 10, 2023
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Certified Adversarial Robustness Within Multiple Perturbation Bounds

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Apr 20, 2023
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DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks

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Feb 28, 2023
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Efficient and Effective Augmentation Strategy for Adversarial Training

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Oct 27, 2022
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Towards Efficient and Effective Self-Supervised Learning of Visual Representations

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Oct 18, 2022
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Scaling Adversarial Training to Large Perturbation Bounds

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Oct 18, 2022
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Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks

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Oct 04, 2022
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DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization

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Aug 19, 2022
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