Mayank Singh

According to our database, Mayank Singh authored at least 12 papers between 2018 and 2022.

Collaborative distances:

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

2022

Data InStance Prior (DISP) in Generative Adversarial Networks.

Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

LT-GAN: Self-Supervised GAN with Latent Transformation Detection.

Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

Data Instance Prior for Transfer Learning in GANs.

Puneet Mangla, Nupur Kumari, Mayank Singh, Vineeth N. Balasubramanian, Balaji Krishnamurthy

CoRR, 2020

On the Benefits of Models with Perceptually-Aligned Gradients.

Gunjan Aggarwal, Abhishek Sinha, Nupur Kumari, Mayank Singh

CoRR, 2020

Charting the Right Manifold: Manifold Mixup for Few-shot Learning.

Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Attributional Robustness Training Using Input-Gradient Spatial Alignment.

Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

A Method for Computing Class-wise Universal Adversarial Perturbations.

Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy

CoRR, 2019

On the Benefits of Attributional Robustness.

Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy

CoRR, 2019

Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models.

Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Neural Networks in Adversarial Setting and Ill-Conditioned Weight Space.

Mayank Singh, Abhishek Sinha, Balaji Krishnamurthy

CoRR, 2018

Neural Networks in an Adversarial Setting and Ill-Conditioned Weight Space.

Abhishek Sinha, Mayank Singh, Balaji Krishnamurthy

Proceedings of the ECML PKDD 2018 Workshops, 2018

Understanding Adversarial Space Through the Lens of Attribution.

Mayank Singh, Nupur Kumari, Abhishek Sinha, Balaji Krishnamurthy

Proceedings of the ECML PKDD 2018 Workshops, 2018