Vasu Singla

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Micah GoldblumNew York UniversityVerified email at nyu.edu
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
Jonas GeipingResearch Group Leader ELLIS Institute Tübingen & Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Gowthami SomepalliUniversity of Maryland, College ParkVerified email at umd.edu
David W. JacobsProfessor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
Pedro Sandoval-SeguraUniversity of Maryland, College ParkVerified email at cs.umd.edu
Ronen BasriProfessor of Computer Science, Weizmann Institute of ScienceVerified email at weizmann.ac.il
Songwei GeUniversity of Maryland, College ParkVerified email at cs.umd.edu
Soheil FeiziUniversity of Maryland, College ParkVerified email at cs.umd.edu
Sahil SinglaUniversity of MarylandVerified email at cs.umd.edu
Rohun TripathiAllen Institute of AIVerified email at amazon.com
Larry DavisProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Mahyar NajibiResearch Scientist, AppleVerified email at google.com
Bharat SinghCruiseVerified email at getcruise.com
Shuchin AeronAssociate Professor, ECE, Tufts UniversityVerified email at ece.tufts.edu
Kieran ParsonsMitsubishi Electric Research LaboratoriesVerified email at merl.com
Toshiaki Koike-AkinoMERLVerified email at merl.com
Ye WangMitsubishi Electric Research LaboratoriesVerified email at merl.com
Matthias ZwickerProfessor of Computer Science, University of Maryland, College ParkVerified email at cs.umd.edu
Allen TuGraduate Student, University of MarylandVerified email at umd.edu

Vasu Singla

University of Maryland

Verified email at cs.umd.edu - Homepage

Computer Vision Machine Learning


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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	200	2023
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	50	2021
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	45	2023
Autoregressive Perturbations for Data Poisoning P Sandoval-Segura, V Singla, J Geiping, M Goldblum, T Goldstein, ... Advances in Neural Information Processing Systems, 2022, 2022	35	2022
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	22*	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	12	2022
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	10	2024
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	5	2020
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	1	2023
From Pixels to Prose: A Large Dataset of Dense Image Captions V Singla, K Yue, S Paul, R Shirkavand, M Jayawardhana, A Ganjdanesh, ... arXiv preprint arXiv:2406.10328, 2024		2024
PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting A Hanson, A Tu, V Singla, M Jayawardhana, M Zwicker, T Goldstein arXiv preprint arXiv:2406.10219, 2024		2024
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 …, 0

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