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Jonas Geiping
Jonas Geiping
Research Group Leader ELLIS Institute & MPI-IS Tübingen
Verified email at tuebingen.mpg.de - Homepage
Title
Cited by
Cited by
Year
Inverting gradients-how easy is it to break privacy in federated learning?
J Geiping, H Bauermeister, H Dröge, M Moeller
Advances in Neural Information Processing Systems 33, 16937-16947, 2020
8792020
A watermark for large language models
J Kirchenbauer, J Geiping, Y Wen, J Katz, I Miers, T Goldstein
Proceedings of the 40th International Conference on Machine Learning, 17061 …, 2023
2292023
Witches' brew: Industrial scale data poisoning via gradient matching
J Geiping, L Fowl, WR Huang, W Czaja, G Taylor, M Moeller, T Goldstein
Ninth International Conference on Learning Representations 2021, 2021
1712021
Metapoison: Practical general-purpose clean-label data poisoning
WR Huang, J Geiping, L Fowl, G Taylor, T Goldstein
Advances in Neural Information Processing Systems 33, 12080-12091, 2020
1642020
Cold diffusion: Inverting arbitrary image transforms without noise
A Bansal, E Borgnia, HM Chu, J Li, H Kazemi, F Huang, M Goldblum, ...
Advances in Neural Information Processing Systems 36, 2024
1322024
A cookbook of self-supervised learning
R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ...
arXiv preprint arXiv:2304.12210, 2023
1302023
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
1162023
Strong data augmentation sanitizes poisoning and backdoor attacks without an accuracy tradeoff
E Borgnia, V Cherepanova, L Fowl, A Ghiasi, J Geiping, M Goldblum, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
972021
Adversarial examples make strong poisons
L Fowl, M Goldblum, P Chiang, J Geiping, W Czaja, T Goldstein
Advances in Neural Information Processing Systems 34, 30339–30351, 2021
842021
Robbing the fed: Directly obtaining private data in federated learning with modified models
L Fowl, J Geiping, W Czaja, M Goldblum, T Goldstein
Tenth International Conference on Learning Representations, 2022
782022
Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery
Y Wen, N Jain, J Kirchenbauer, M Goldblum, J Geiping, T Goldstein
Advances in Neural Information Processing Systems 36, 2024
722024
Stochastic training is not necessary for generalization
J Geiping, M Goldblum, PE Pope, M Moeller, T Goldstein
The Tenth International Conference on Learning Representations, 2022
602022
What Doesn't Kill You Makes You Robust (er): Adversarial Training against Poisons and Backdoors
J Geiping, L Fowl, G Somepalli, M Goldblum, M Moeller, T Goldstein
ICLR 2021 Workshop on Security and Safety in Machine Learning Systems, 2021
55*2021
Universal guidance for diffusion models
A Bansal, HM Chu, A Schwarzschild, S Sengupta, M Goldblum, J Geiping, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
502023
Fishing for user data in large-batch federated learning via gradient magnification
Y Wen, J Geiping, L Fowl, M Goldblum, T Goldstein
Proceedings of the 39th International Conference on Machine Learning, 23668 …, 2022
502022
Dp-instahide: Provably defusing poisoning and backdoor attacks with differentially private data augmentations
E Borgnia, J Geiping, V Cherepanova, L Fowl, A Gupta, A Ghiasi, ...
ICLR 2021 Workshop on Security and Safety in Machine Learning Systems, 2021
362021
Kezhi Kong, Kasun Fernando, Aniruddha Saha, Micah Goldblum, and Tom Goldstein. On the reliability of watermarks for large language models
J Kirchenbauer, J Geiping, Y Wen, M Shu, K Saifullah
arXiv preprint arXiv:2306.04634, 2023
352023
Truth or backpropaganda? An empirical investigation of deep learning theory
M Goldblum, J Geiping, A Schwarzschild, M Moeller, T Goldstein
Eighth International Conference on Learning Representations, 2020
352020
Preventing unauthorized use of proprietary data: Poisoning for secure dataset release
L Fowl, P Chiang, M Goldblum, J Geiping, A Bansal, W Czaja, T Goldstein
ICLR 2021 Workshop on Security and Safety in Machine Learning Systems, 2021
342021
Cramming: Training a Language Model on a single GPU in one day.
J Geiping, T Goldstein
International Conference on Machine Learning, 11117-11143, 2023
302023
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