Jonas Geiping
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
12
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation. | Yanwu Yang, Guinan Su, Jiesi Hu, Francesco Sammarco, Jonas Geiping, Thomas Wolfers |
| 2025 | CVPR | Training Data Reconstruction: Privacy due to Uncertainty? | Christina Runkel, Kanchana Vaishnavi Gandikota, Jonas Geiping, Carola-Bibiane Schnlieb, Michael Moeller |
| 2025 | ICML | When, Where and Why to Average Weights? | Niccol Ajroldi, Antonio Orvieto, Jonas Geiping |
| 2025 | ICML | An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks. | Valentyn Boreiko, Alexander Panfilov, Vclav Vorcek, Matthias Hein, Jonas Geiping |
| 2025 | ICML | Great Models Think Alike and this Undermines AI Oversight. | Shashwat Goel, Joschka Strber, Ilze Amanda Auzina, Karuna K. Chandra, Ponnurangam Kumaraguru, Douwe Kiela, Ameya Prabhu, Matthias Bethge, Jonas Geiping |
| 2025 | NAACL | LLM-Generated Passphrases That Are Secure and Easy to Remember. | Jie S. Li, Jonas Geiping, Micah Goldblum, Aniruddha Saha, Tom Goldstein |
| 2024 | CVPR | Object Recognition as Next Token Prediction. | Kaiyu Yue, Bor-Chun Chen, Jonas Geiping, Hengduo Li, Tom Goldstein, Ser-Nam Lim |
| 2024 | ECCV | Investigating Style Similarity in Diffusion Models. | Gowthami Somepalli, Anubhav Gupta, Kamal Gupta, Shramay Palta, Micah Goldblum, Jonas Geiping, Abhinav Shrivastava, Tom Goldstein |
| 2024 | ICLR | Universal Guidance for Diffusion Models. | Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2024 | ICLR | NEFTune: Noisy Embeddings Improve Instruction Finetuning. | Neel Jain, Ping-yeh Chiang, Yuxin Wen, John Kirchenbauer, Hong-Min Chu, Gowthami Somepalli, Brian R. Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2024 | ICLR | On the Reliability of Watermarks for Large Language Models. | John Kirchenbauer, Jonas Geiping, Yuxin Wen, Manli Shu, Khalid Saifullah, Kezhi Kong, Kasun Fernando, Aniruddha Saha, Micah Goldblum, Tom Goldstein |
| 2024 | ICML | Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text. | Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, Hamid Kazemi, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2024 | SC | Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers. | Siddharth Singh, Prajwal Singhania, Aditya K. Ranjan, John Kirchenbauer, Jonas Geiping, Yuxin Wen, Neel Jain, Abhimanyu Hans, Manli Shu, Aditya Tomar, Tom Goldstein, Abhinav Bhatele |
| 2023 | CVPR | Universal Guidance for Diffusion Models. | Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2023 | CVPR | Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models. | Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2023 | ICASSP | STYX: Adaptive Poisoning Attacks Against Byzantine-Robust Defenses in Federated Learning. | Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein |
| 2023 | ICLR | Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent. | Ping-yeh Chiang, Renkun Ni, David Yu Miller, Arpit Bansal, Jonas Geiping, Micah Goldblum, Tom Goldstein |
| 2023 | ICLR | Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation. | Hong-Min Chu, Jonas Geiping, Liam H. Fowl, Micah Goldblum, Tom Goldstein |
| 2023 | ICLR | Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models. | Liam H. Fowl, Jonas Geiping, Steven Reich, Yuxin Wen, Wojciech Czaja, Micah Goldblum, Tom Goldstein |
| 2023 | ICLR | How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization. | Jonas Geiping, Micah Goldblum, Gowthami Somepalli, Ravid Shwartz-Ziv, Tom Goldstein, Andrew Gordon Wilson |
| 2023 | ICLR | Seeing in Words: Learning to Classify through Language Bottlenecks. | Khalid Saifullah, Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein |
| 2023 | ICLR | Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries. | Yuxin Wen, Arpit Bansal, Hamid Kazemi, Eitan Borgnia, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2023 | ICML | Cramming: Training a Language Model on a single GPU in one day. | Jonas Geiping, Tom Goldstein |
| 2023 | ICML | A Watermark for Large Language Models. | John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein |
| 2022 | ACCV | A Simple Strategy to Provable Invariance via Orbit Mapping. | Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lhner, Adam Czaplinski, Michael Mller |
| 2022 | CVPR | Poisons that are learned faster are more effective. | Pedro Sandoval Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs, Tom Goldstein |
| 2022 | ICLR | Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models. | Liam H. Fowl, Jonas Geiping, Wojciech Czaja, Micah Goldblum, Tom Goldstein |
| 2022 | ICLR | Stochastic Training is Not Necessary for Generalization. | Jonas Geiping, Micah Goldblum, Phillip Pope, Michael Moeller, Tom Goldstein |
| 2022 | ICML | Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification. | Yuxin Wen, Jonas Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein |
| 2021 | ICASSP | Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff. | Eitan Borgnia, Valeriia Cherepanova, Liam Fowl, Amin Ghiasi, Jonas Geiping, Micah Goldblum, Tom Goldstein, Arjun Gupta |
| 2021 | ICLR | Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. | Jonas Geiping, Liam H. Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein |
| 2020 | BMVC | Fast Convex Relaxations using Graph Discretizations. | Jonas Geiping, Fjedor Gaede, Hartmut Bauermeister, Michael Moeller |
| 2020 | ICASSP | Witchcraft: Efficient PGD Attacks with Random Step Size. | Ping-Yeh Chiang, Jonas Geiping, Micah Goldblum, Tom Goldstein, Renkun Ni, Steven Reich, Ali Shafahi |
| 2020 | ICLR | Truth or backpropaganda? An empirical investigation of deep learning theory. | Micah Goldblum, Jonas Geiping, Avi Schwarzschild, Michael Moeller, Tom Goldstein |
| 2019 | ICCV | Parametric Majorization for Data-Driven Energy Minimization Methods. | Jonas Geiping, Michael Moeller |
| 2019 | IROS | Piecewise Rigid Scene Flow with Implicit Motion Segmentation. | Andreas Grlitz, Jonas Geiping, Andreas Kolb |