Jonathan Hayase

According to our database, Jonathan Hayase authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Stealing Part of a Production Language Model.

Nicholas Carlini, Daniel Paleka, Krishnamurthy (Dj) Dvijotham, Thomas Steinke, Jonathan Hayase, A. Feder Cooper, Katherine Lee, Matthew Jagielski, Milad Nasr, Arthur Conmy, Eric Wallace, David Rolnick, Florian Tramèr

CoRR, 2024

Query-Based Adversarial Prompt Generation.

Jonathan Hayase, Ema Borevkovic, Nicholas Carlini, Florian Tramèr, Milad Nasr

CoRR, 2024

2023

Scalable Extraction of Training Data from (Production) Language Models.

Milad Nasr, Nicholas Carlini, Jonathan Hayase, Matthew Jagielski, A. Feder Cooper, Daphne Ippolito, Christopher A. Choquette-Choo, Eric Wallace, Florian Tramèr, Katherine Lee

CoRR, 2023

Label Poisoning is All You Need.

Rishi D. Jha, Jonathan Hayase, Sewoong Oh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DataComp: In search of the next generation of multimodal datasets.

Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Few-shot Backdoor Attacks via Neural Tangent Kernels.

Jonathan Hayase, Sewoong Oh

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Git Re-Basin: Merging Models modulo Permutation Symmetries.

Samuel K. Ainsworth, Jonathan Hayase, Siddhartha S. Srinivasa

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Towards a Defense against Backdoor Attacks in Continual Federated Learning.

Shuaiqi Wang, Jonathan Hayase, Giulia Fanti, Sewoong Oh

CoRR, 2022

Zonotope Domains for Lagrangian Neural Network Verification.

Matt Jordan, Jonathan Hayase, Alex Dimakis, Sewoong Oh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics.

Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh

CoRR, 2021

Defense against backdoor attacks via robust covariance estimation.

Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

The Futility of Bias-Free Learning and Search.

George D. Montañez, Jonathan Hayase, Julius Lauw, Dominique Macias, Akshay Trikha, Julia Vendemiatti

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019