Towards Efficient and Effective Adversarial Training

1 code implementation • NeurIPS 2021 • Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R

The vulnerability of Deep Neural Networks to adversarial attacks has spurred immense interest towards improving their robustness.

Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses

1 code implementation • NeurIPS 2020 • Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, R. Venkatesh Babu

Further, we propose Guided Adversarial Training (GAT), which achieves state-of-the-art performance amongst single-step defenses by utilizing the proposed relaxation term for both attack generation and training.

Adversarial Attack Adversarial Defense

Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes

1 code implementation • CVPR 2020 • Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu

In this work, we attempt to address this problem by training networks to form coarse impressions based on the information in higher bit planes, and use the lower bit planes only to refine their prediction.

Adversarial Robustness