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Jonathan Hayase
Jonathan Hayase
University of Washington
Bestätigte E-Mail-Adresse bei cs.washington.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Datacomp: In search of the next generation of multimodal datasets
SY Gadre, G Ilharco, A Fang, J Hayase, G Smyrnis, T Nguyen, R Marten, ...
Advances in Neural Information Processing Systems 36, 2024
3582024
Git Re-Basin: Merging Models modulo Permutation Symmetries
SK Ainsworth, J Hayase, S Srinivasa
The Eleventh International Conference on Learning Representations, 2022
3162022
Scalable Extraction of Training Data from (Production) Language Models
M Nasr, N Carlini, J Hayase, M Jagielski, AF Cooper, D Ippolito, ...
arXiv preprint arXiv:2311.17035, 0
290
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
J Hayase, W Kong, R Somani, S Oh
International Conference on Machine Learning, 4129-4139, 2021
203*2021
Stealing part of a production language model
N Carlini, D Paleka, KD Dvijotham, T Steinke, J Hayase, AF Cooper, ...
arXiv preprint arXiv:2403.06634, 2024
642024
Label poisoning is all you need
R Jha, J Hayase, S Oh
Advances in Neural Information Processing Systems 36, 71029-71052, 2023
342023
Query-Based Adversarial Prompt Generation
J Hayase, E Borevkovic, N Carlini, F Tramèr, M Nasr
arXiv preprint arXiv:2402.12329, 2024
272024
Few-shot Backdoor Attacks via Neural Tangent Kernels
J Hayase, S Oh
The Eleventh International Conference on Learning Representations, 2022
212022
The futility of bias-free learning and search
GD Montañez, J Hayase, J Lauw, D Macias, A Trikha, J Vendemiatti
Australasian Joint Conference on Artificial Intelligence, 277-288, 2019
152019
Towards a Defense Against Federated Backdoor Attacks Under Continuous Training
S Wang, J Hayase, G Fanti, S Oh
Transactions on Machine Learning Research, 2023
12*2023
Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions
J Hayase, A Liu, Y Choi, S Oh, NA Smith
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
4*2024
Zonotope Domains for Lagrangian Neural Network Verification
M Jordan, J Hayase, A Dimakis, S Oh
Advances in Neural Information Processing Systems 35, 8400-8413, 2022
42022
PLeaS--Merging Models with Permutations and Least Squares
A Nasery, J Hayase, PW Koh, S Oh
arXiv preprint arXiv:2407.02447, 2024
32024
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares
G Brown, J Hayase, S Hopkins, W Kong, X Liu, S Oh, JC Perdomo, ...
The Thirty Seventh Annual Conference on Learning Theory, 750-751, 2024
12024
Monge-Kantorovich Fitting Under Sobolev Budgets
F Kobayashi, YH Kim, J Hayase
2025 Joint Mathematics Meetings (JMM 2025), 2024
2024
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