Jonas Guan

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 8

Top Topics

Manifold Alignment

Structured Prediction

Supervised Learning

Top Venues

ESEC/SIGSOFT FSE

Publications

Adam Dziedzic, Nikita Dhawan, Muhammad Ahmad Kaleem, Jonas Guan, Nicolas Papernot
On the Difficulty of Defending Self-Supervised Learning against Model Extraction. CoRR (2022)
Adam Dziedzic, Nikita Dhawan, Muhammad Ahmad Kaleem, Jonas Guan, Nicolas Papernot
On the Difficulty of Defending Self-Supervised Learning against Model Extraction. ICML (2022)
Adam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot
Dataset Inference for Self-Supervised Models. NeurIPS (2022)
Hengrui Jia, Hongyu Chen, Jonas Guan, Ali Shahin Shamsabadi, Nicolas Papernot
A Zest of LIME: Towards Architecture-Independent Model Distances. ICLR (2022)
Adam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot
Dataset Inference for Self-Supervised Models. CoRR (2022)
Kexin Pei, Jonas Guan, David Williams-King, Junfeng Yang, Suman Jana
XDA: Accurate, Robust Disassembly with Transfer Learning. NDSS (2021)
Kexin Pei, Jonas Guan, Matthew Broughton, Zhongtian Chen, Songchen Yao, David Williams-King, Vikas Ummadisetty, Junfeng Yang, Baishakhi Ray, Suman Jana
StateFormer: fine-grained type recovery from binaries using generative state modeling. ESEC/SIGSOFT FSE (2021)
Kexin Pei, Jonas Guan, David Williams-King, Junfeng Yang, Suman Jana
XDA: Accurate, Robust Disassembly with Transfer Learning. CoRR (2020)