Jonathan Hayase

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Malicious Attacks

Robust Estimators

Robust Statistics

Top Venues

Publications

Jonathan Hayase, Ema Borevkovic, Nicholas Carlini, Florian Tramèr, Milad Nasr
Query-Based Adversarial Prompt Generation. CoRR (2024)
Gavin Brown, Jonathan Hayase, Samuel B. Hopkins, Weihao Kong, Xiyang Liu, Sewoong Oh, Juan C. Perdomo, Adam Smith
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares. CoRR (2024)
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
Stealing Part of a Production Language Model. CoRR (2024)
Anshul Nasery, Jonathan Hayase, Pang Wei Koh, Sewoong Oh
PLeaS - Merging Models with Permutations and Least Squares. CoRR (2024)
Gavin Brown, Jonathan Hayase, Samuel B. Hopkins, Weihao Kong, Xiyang Liu, Sewoong Oh, Juan C. Perdomo, Adam Smith
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract. COLT (2024)
Jonathan Hayase, Alisa Liu, Yejin Choi, Sewoong Oh, Noah A. Smith
Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data? CoRR (2024)
Rishi D. Jha, Jonathan Hayase, Sewoong Oh
Label Poisoning is All You Need. CoRR (2023)
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 Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
DataComp: In search of the next generation of multimodal datasets. CoRR (2023)
Jonathan Hayase, Sewoong Oh
Few-shot Backdoor Attacks via Neural Tangent Kernels. ICLR (2023)
Milad Nasr, Nicholas Carlini, Jonathan Hayase, Matthew Jagielski, A. Feder Cooper, Daphne Ippolito, Christopher A. Choquette-Choo, Eric Wallace, Florian Tramèr, Katherine Lee
Scalable Extraction of Training Data from (Production) Language Models. CoRR (2023)
Rishi D. Jha, Jonathan Hayase, Sewoong Oh
Label Poisoning is All You Need. NeurIPS (2023)
Shuaiqi Wang, Jonathan Hayase, Giulia Fanti, Sewoong Oh
Towards a Defense Against Federated Backdoor Attacks Under Continuous Training. Trans. Mach. Learn. Res. 2023 (2023)
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
DataComp: In search of the next generation of multimodal datasets. NeurIPS (2023)
Samuel K. Ainsworth, Jonathan Hayase, Siddhartha S. Srinivasa
Git Re-Basin: Merging Models modulo Permutation Symmetries. ICLR (2023)
Shuaiqi Wang, Jonathan Hayase, Giulia Fanti, Sewoong Oh
Towards a Defense against Backdoor Attacks in Continual Federated Learning. CoRR (2022)
Jonathan Hayase, Sewoong Oh
Few-shot Backdoor Attacks via Neural Tangent Kernels. CoRR (2022)
Matt Jordan, Jonathan Hayase, Alex Dimakis, Sewoong Oh
Zonotope Domains for Lagrangian Neural Network Verification. NeurIPS (2022)
Samuel K. Ainsworth, Jonathan Hayase, Siddhartha S. Srinivasa
Git Re-Basin: Merging Models modulo Permutation Symmetries. CoRR (2022)
Matt Jordan, Jonathan Hayase, Alexandros G. Dimakis, Sewoong Oh
Zonotope Domains for Lagrangian Neural Network Verification. CoRR (2022)
Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh
Defense against backdoor attacks via robust covariance estimation. ICML (2021)
Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics. CoRR (2021)
George D. Montañez, Jonathan Hayase, Julius Lauw, Dominique Macias, Akshay Trikha, Julia Vendemiatti
The Futility of Bias-Free Learning and Search. CoRR (2019)
George D. Montañez, Jonathan Hayase, Julius Lauw, Dominique Macias, Akshay Trikha, Julia Vendemiatti
The Futility of Bias-Free Learning and Search. Australasian Conference on Artificial Intelligence (2019)