Cheng Fu

DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks

Jishen Zhao, Cheng Fu, Huili Chen, 2019, IJCAI.

Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition

Kim M. Hazelwood, K. Hazelwood, Jishen Zhao, 2022, PACT.

GenUnlock: An Automated Genetic Algorithm Framework for Unlocking Logic Encryption

Jishen Zhao, Cheng Fu, Huili Chen, 2019, 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA

Jishen Zhao, Shilin Zhu, Cheng Fu, 2018, FPGA.

DeepMarks: A Secure Fingerprinting Framework for Digital Rights Management of Deep Learning Models

Farinaz Koushanfar, Jishen Zhao, Cheng Fu, 2019, ICMR.

ProFlip: Targeted Trojan Attack with Progressive Bit Flips

F. Koushanfar, Jishen Zhao, Huili Chen, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Coda: An End-to-End Neural Program Decompiler

Yuandong Tian, Xinyun Chen, Jishen Zhao, 2019, NeurIPS.

DeepAttest: An End-to-End Attestation Framework for Deep Neural Networks

Farinaz Koushanfar, Jishen Zhao, Bita Darvish Rouhani, 2019, 2019 ACM/IEEE 46th Annual International Symposium on Computer Architecture (ISCA).

Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing

Xinyun Chen, Cheng Fu, Hanxian Huang, 2021, ICML.

GALU: A Genetic Algorithm Framework for Logic Unlocking

F. Koushanfar, Jishen Zhao, Huili Chen, 2021, Digital Threats: Research and Practice.

Intellectual Property Protection of Deep-Learning Systems via Hardware/Software Co-Design

F. Koushanfar, Jishen Zhao, B. Rouhani, 2024, IEEE Design & Test.

SimBNN: A Similarity-Aware Binarized Neural Network Acceleration Framework

Farinaz Koushanfar, Jishen Zhao, Hao Su, 2019, 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).