Laurens van der Maaten

Computer Science · Physical Sciences

46h-index96.5kcitations132works0.02yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(33), Multimodal Machine Learning Applications(25), Advanced Image and Video Retrieval Techniques(21), Adversarial Robustness in Machine Learning(15), Advanced Neural Network Applications(13)

Publications131 total

RoFL: Robust Fingerprinting of Language Models
arXiv (Cornell University)·2025Open Access
Law of the Weakest Link: Cross Capabilities of Large Language Models
arXiv (Cornell University)·2024Open Access
Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds
arXiv (Cornell University)·2024Open Access
GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition
arXiv (Cornell University)·2023· 5 citedOpen Access
EIFFeL
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security·2022· 68 cited
Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract)
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence·2022· 14 citedOpen Access
Omnivore: A Single Model for Many Visual Modalities
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 174 cited
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 84 cited
Bounding Training Data Reconstruction in Private (Deep) Learning
arXiv (Cornell University)·2022· 5 citedOpen Access
A Systematic Study of Bias Amplification
arXiv (Cornell University)·2022· 31 citedOpen Access
Omnivore: A Single Model for Many Visual Modalities
arXiv (Cornell University)·2022Open Access
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
arXiv (Cornell University)·2022· 5 citedOpen Access
Submix: Practical Private Prediction for Large-Scale Language Models
arXiv (Cornell University)·2022· 3 citedOpen Access
EIFFeL: Ensuring Integrity for Federated Learning
arXiv (Cornell University)·2021· 12 citedOpen Access
CrypTen: Secure Multi-Party Computation Meets Machine Learning
arXiv (Cornell University)·2021· 62 citedOpen Access
Measuring Data Leakage in Machine-Learning Models with Fisher Information
arXiv (Cornell University)·2021Open Access
Making Paper Reviewing Robust to Bid Manipulation Attacks
2021· 5 cited
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems
arXiv (Cornell University)·2021· 1 citedOpen Access
Measuring Data Leakage in Machine-Learning Models with Fisher Information
arXiv (Cornell University)·2021· 15 citedOpen Access
Physical Reasoning Using Dynamics-Aware Models
arXiv (Cornell University)·2021· 1 citedOpen Access
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Frequent Co-authors

Kilian Q. Weinberger(12), Gao Huang(9), Ross Girshick(5), Armand Joulin(4), Bharath Hariharan(3), Li Fei-Fei(3), C. Lawrence Zitnick(3), Kaiming He(3), Boudewijn P. F. Lelieveldt(3), Allan Jabri(3), Danlu Chen(3), Ishan Misra(3), Zhuang Liu(2), Geoffrey E. Hinton(2), Eric Postma(2), Cihang Xie(2), Yuxin Wu(2), Alan Yuille(2), Geoff Pleiss(2), Chuan Guo(2)