Web: http://arxiv.org/abs/2209.09996

Sept. 22, 2022, 1:11 a.m. | Jiaqi Xue, Lei Xu, Lin Chen, Weidong Shi, Kaidi Xu, Qian Lou

cs.LG updates on arXiv.org arxiv.org

Performing neural network inference on encrypted data without decryption is
one popular method to enable privacy-preserving neural networks (PNet) as a
service. Compared with regular neural networks deployed for
machine-learning-as-a-service, PNet requires additional encoding, e.g.,
quantized-precision numbers, and polynomial activation. Encrypted input also
introduces novel challenges such as adversarial robustness and security. To the
best of our knowledge, we are the first to study questions including (i)
Whether PNet is more robust against adversarial inputs than regular neural
networks? (ii) …

arxiv audit data networks neural networks robustness

More from arxiv.org / cs.LG updates on arXiv.org

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Data Scientist (Analytics) - Singapore

@ Momos | Singapore, Central, Singapore

Machine Learning Scientist, Drug Discovery

@ Flagship Pioneering, Inc. | Cambridge, MA

Applied Scientist - Computer Vision

@ Flawless | Los Angeles, California, United States

Sr. Data Engineer, Customer Service

@ Wayfair Inc. | Boston, MA