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Vasu Singla
Vasu Singla
Verified email at cs.umd.edu - Homepage
Title
Cited by
Cited by
Year
Diffusion art or digital forgery? investigating data replication in diffusion models
G Somepalli, V Singla, M Goldblum, J Geiping, T Goldstein
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
1492023
Low curvature activations reduce overfitting in adversarial training
V Singla, S Singla, S Feizi, D Jacobs
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
412021
Understanding and mitigating copying in diffusion models
G Somepalli, V Singla, M Goldblum, J Geiping, T Goldstein
Advances in Neural Information Processing Systems 36, 47783-47803, 2023
292023
Autoregressive Perturbations for Data Poisoning
P Sandoval-Segura*, V Singla*, J Geiping, M Goldblum, T Goldstein, ...
Advances in Neural Information Processing Systems, 2022, 2022
252022
Shift Invariance Can Reduce Adversarial Robustness
V Singla*, S Ge*, R Basri, D Jacobs, * denotes equal contribution
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
21*2021
Poisons that are learned faster are more effective
P Sandoval-Segura, V Singla, L Fowl, J Geiping, M Goldblum, D Jacobs, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
102022
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors
R Tripathi*, V Singla*, M Najibi, B Singh, A Sharma, L Davis, ...
arXiv preprint arXiv:2007.09785, 2020
52020
What Can We Learn from Unlearnable Datasets?
P Sandoval-Segura, V Singla, J Geiping, M Goldblum, T Goldstein
Advances in Neural Information Processing Systems 36, 2024
32024
A Simple and Efficient Baseline for Data Attribution on Images
V Singla, P Sandoval-Segura, M Goldblum, J Geiping, T Goldstein
arXiv preprint arXiv:2311.03386, 2023
2023
Learning with noisy labels using low-dimensional model trajectory
V Singla, S Aeron, T Koike-Akino, K Parsons, M Brand, Y Wang
NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022
2022
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