Jonas Guan

According to our database, Jonas Guan authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

Temporal-Difference Learning Using Distributed Error Signals.

Jonas Guan, Shon Eduard Verch, Claas Voelcker, Ethan C. Jackson, Nicolas Papernot, William A. Cunningham

CoRR, 2024

2022

Dataset Inference for Self-Supervised Models.

Adam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot

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

On the Difficulty of Defending Self-Supervised Learning against Model Extraction.

Adam Dziedzic, Nikita Dhawan, Muhammad Ahmad Kaleem, Jonas Guan, Nicolas Papernot

Proceedings of the International Conference on Machine Learning, 2022

A Zest of LIME: Towards Architecture-Independent Model Distances.

Hengrui Jia, Hongyu Chen, Jonas Guan, Ali Shahin Shamsabadi, Nicolas Papernot

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

StateFormer: fine-grained type recovery from binaries using generative state modeling.

Kexin Pei, Jonas Guan, Matthew Broughton, Zhongtian Chen, Songchen Yao, David Williams-King, Vikas Ummadisetty, Junfeng Yang, Baishakhi Ray, Suman Jana

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

XDA: Accurate, Robust Disassembly with Transfer Learning.

Kexin Pei, Jonas Guan, David Williams-King, Junfeng Yang, Suman Jana

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021