Publications

You can also find my articles on my Google scholar profile.
* denotes equal contribution.

A Simple and Efficient Baseline for Data Attribution on Images
Under Review
Vasu Singla, Pedro Sandoval-Segura, Micah Goldblum, Jonas Geiping, Tom Goldstein

Why Diffusion Models Memorize and How to Mitigate Copying
Accepted at NeurIPS 2023
Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein

What Can We Learn from Unlearnable Datasets?
Accepted at NeurIPS 2023
Pedro Sandoval-Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein

Diffusion art or digital forgery? investigating data replication in diffusion models
Accepted at CVPR 2023
Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein

Learning with noisy labels using low-dimensional model trajectory
Accepted at NeurIPS 2022 DistShift Workshop
Vasu Singla, Shuchin Aeron, Toshiaki Koike-Akino, Kieran Parsons, Matthew Brand, Ye Wang

Autoregressive Perturbations for Data Poisoning
Accepted at NeurIPS 2022
Pedro Sandoval-Segura*, Vasu Singla*, Jonas Geiping, Micah Goldblum, Tom Goldstein, David W. Jacobs

Poisons That Are Learned Faster Are More Effective
Accepted at CVPR 2022 The Art of Robustness Workshop
Pedro Sandoval-Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs, Tom Goldstein

CutMixWords: Data Augmentation for Accent Robust Speech Recognition
Vasu Singla*, Sayantan Mahinder*, Bortik Bandyopadhyay, Srinivas Chappidi

Shift Invariance Can Reduce Adversarial Robustness
Accepted at NeurIPS 2021 (Poster)
Short Version at ICLR 2021 Security and Safety in Machine Learning
Songwei Ge*, Vasu Singla*, Ronen Basri, David Jacobs

Low Curvature Activations Reduce Overfitting in Adversarial Training
Accepted at ICCV 2021 (Poster)
Short Version at ICLR 2021 Security and Safety in Machine Learning
Vasu Singla, Sahil Singla, David Jacobs, Soheil Feizi

ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors
Rohun Tripathi*, Vasu Singla*, Mahyar Najibi, Bharat Singh, Abhishek Sharma, Larry Davis