Matthew Jagielski
North Eastern University
H-index: 21
Asia-Thailand
Top articles of Matthew Jagielski
Noise masking attacks and defenses for pretrained speech models
2024/4/14
Stealing Part of a Production Language Model
arXiv preprint arXiv:2403.06634
2024/3/11
Auditing Private Prediction
arXiv preprint arXiv:2402.09403
2024/2/14
Are aligned neural networks adversarially aligned?
Advances in Neural Information Processing Systems
2024/2/13
Privacy auditing with one (1) training run
Advances in Neural Information Processing Systems
2024/2/13
Milad Nasr
H-Index: 8
Matthew Jagielski
H-Index: 10
Students parrot their teachers: Membership inference on model distillation
Advances in Neural Information Processing Systems
2024/2/13
Advancing differential privacy: Where we are now and future directions for real-world deployment
2024/1/16
Rachel Cummings
H-Index: 15
David Evans
H-Index: 1
Roxana Geambasu
H-Index: 17
Yangsibo Huang
H-Index: 4
Matthew Jagielski
H-Index: 10
Sewoong Oh
H-Index: 32
Nicolas Papernot
H-Index: 32
Ryan Rogers
H-Index: 0
Shuang Song
H-Index: 2
Yu-Xiang Wang
H-Index: 25
Li Xiong
H-Index: 36
Da Yu
H-Index: 2
Huanyu Zhang
H-Index: 7
Wanrong Zhang
H-Index: 2
Poisoning Web-Scale Training Datasets is Practical
arXiv preprint arXiv:2302.10149
2023/2/20
Matthew Jagielski
H-Index: 10
Florian Tramèr
H-Index: 23
Extracting training data from diffusion models
arXiv preprint arXiv:2301.13188
2023/1/30
Preventing generation of verbatim memorization in language models gives a false sense of privacy
Proceedings of the 16th International Natural Language Generation Conference
2023
How to Combine Membership-Inference Attacks on Multiple Updated Machine Learning Models
Proceedings on Privacy Enhancing Technologies
2023
Matthew Jagielski
H-Index: 10
Alina Oprea
H-Index: 27
Jonathan Ullman
H-Index: 26
Roxana Geambasu
H-Index: 17
Tight auditing of differentially private machine learning
2023
Counterfactual memorization in neural language models
Advances in Neural Information Processing Systems
2023/12/15
Scalable Extraction of Training Data from (Production) Language Models
arXiv preprint arXiv:2311.17035
2023/11/28
Milad Nasr
H-Index: 8
Matthew Jagielski
H-Index: 10
Eric Wallace
H-Index: 13
Florian Tramèr
H-Index: 23
Katherine Lee
H-Index: 4
Privacy Side Channels in Machine Learning Systems
arXiv preprint arXiv:2309.05610
2023/9/11
Edoardo Debenedetti
H-Index: 0
Matthew Jagielski
H-Index: 10
Milad Nasr
H-Index: 8
Eric Wallace
H-Index: 13
Florian Tramèr
H-Index: 23
Backdoor Attacks for In-Context Learning with Language Models
arXiv preprint arXiv:2307.14692
2023/7/27
Matthew Jagielski
H-Index: 10
Florian Tramèr
H-Index: 23
A Note On Interpreting Canary Exposure
arXiv preprint arXiv:2306.00133
2023/5/31
Matthew Jagielski
H-Index: 10
SNAP: Efficient extraction of private properties with poisoning
2023/5/21
Alina Oprea
H-Index: 27
Matthew Jagielski
H-Index: 10
Florian Tramèr
H-Index: 23
Jonathan Ullman
H-Index: 26
PaLM 2 Technical Report
arXiv preprint arXiv:2305.10403
2023/5/17
Zhifeng Chen
H-Index: 7
Eric Chu
H-Index: 11
Gaurav Mishra
H-Index: 1
Kefan Xiao
H-Index: 5
James Bradbury
H-Index: 3
Kevin Brooks
H-Index: 16
Yong Cheng
H-Index: 14
Mostafa Dehghani
H-Index: 2
Nan Du
H-Index: 10
Ethan Dyer
H-Index: 12
Markus Freitag
H-Index: 28
Lucas Gonzalez
H-Index: 9
Steven Hand
H-Index: 7
Hadi Hashemi
H-Index: 3
Andrea Hu
H-Index: 2
Matthew Jagielski
H-Index: 10
Katherine Lee
H-Index: 4
Benjamin Lee
H-Index: 8
Eric Li
H-Index: 1
Wei Li
H-Index: 8
Jian Li
H-Index: 61
Aroma Mahendru
H-Index: 3
Alicia Parrish
H-Index: 2
Siyuan Qiao
H-Index: 13
Parker Riley
H-Index: 3
Renee Shelby
H-Index: 3
Kiran Vodrahalli
H-Index: 6
Xuezhi Wang
H-Index: 13
Pidong Wang
H-Index: 6
Zirui Wang
H-Index: 4
Tao Wang
H-Index: 17
Kelvin Xu
H-Index: 10
Pengcheng Yin
H-Index: 14
Jiahui Yu
H-Index: 2
Qiao Zhang
H-Index: 7
Steven Zheng
H-Index: 27
Ce Zheng
H-Index: 2
Yonghui Wu
H-Index: 22
Privacy-Preserving Recommender Systems with Synthetic Query Generation using Differentially Private Large Language Models
arXiv preprint arXiv:2305.05973
2023/5/10