Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations

no code implementations • CVPR 2022 • Zirui Peng, Shaofeng Li, Guoxing Chen, Cheng Zhang, Haojin Zhu, Minhui Xue

In this paper, we propose a novel and practical mechanism which enables the service provider to verify whether a suspect model is stolen from the victim model via model extraction attacks.

Contrastive Learning Model extraction

Short-term precipitation prediction using deep learning

no code implementations • 5 Oct 2021 • Guoxing Chen, Wei-Chyung Wang

Second, combining the network predictions with the weather-model forecasts significantly improves the accuracy of model forecasts, especially for heavy-precipitation events.

SgxPectre Attacks: Stealing Intel Secrets from SGX Enclaves via Speculative Execution

no code implementations • 25 Feb 2018 • Guoxing Chen, Sanchuan Chen, Yuan Xiao, Yinqian Zhang, Zhiqiang Lin, Ten H. Lai

Particularly, we show that when branch prediction of the enclave code can be influenced by programs outside the enclave, the control flow of the enclave program can be temporarily altered to execute instructions that lead to observable cache-state changes.

Cryptography and Security

Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices

no code implementations • 11 Jan 2015 • Jihun Hamm, Adam Champion, Guoxing Chen, Mikhail Belkin, Dong Xuan

Smart devices with built-in sensors, computational capabilities, and network connectivity have become increasingly pervasive.

Privacy Preserving