Jiameng Pu

Ph.D. Student @VT

Hi, I'm Jiameng Pu. I finished my Ph.D. in Computer Science at the Department of Computer Science, Virginia Tech, under the supervision of Prof. Bimal Viswanath. My research interests are mainly focused on topics at the intersection of security and machine learning. I received my bachelor's degree in Computer Science from Wuhan University in Jun. 2017. I was a research assistant at the Network Dynamics and Simulation Science Lab of Virginia Tech from Aug. 2017 to Aug. 2018. Check out my resume here:)

Education

2017 - 2022

Ph.D. in Computer Science and Applications, Virginia Tech

United States, Blacksburg

2013 - 2017

B.E. in Computer Science and Technology, Wuhan University

China, Wuhan

Work Experience

May. 2021 - Aug. 2021

Software Engineer Intern

Marketplace Commerce Growth Intelligence, Facebook

Menlo Park, CA, United States

Aug. 2017 - present

Research Assistant

Department of Computer Science, Virginia Tech

Blacksburg, VA, United States

Aug. 2016 - Nov. 2016

Data Scientist Intern

IBM China Development Labs, Lab Based Service

Wuhan, China

Aug. 2015 - Aug. 2016

Undergrad Research Assistant

State Key Laboratory of Software Engineering, Wuhan University

Wuhan, China

Publication

Jiameng Pu (co-lead), Zain Sarwar (co-lead), Sifat Muhammad Abdullah, Abdullah Rehman, Yoonjin Kim, Parantapa Bhattacharya, Mobin Javed, and Bimal Viswanath.

Deepfake Text Detection: Limitations and Opportunities.

IEEE S&P 2023. To appear.

Jiameng Pu(co-lead) Neal Mangaokar(co-lead), Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, and Bimal Viswanath.

Deepfake Videos in the Wild: Analysis and Detection.

ACM WWW, Ljubljana, Slovenia, April 2021. [DF-W Dataset], [Presentation].

Jiameng Pu, Neal Mangaokar, Bolun Wang, Chandan K. Reddy and Bimal Viswanath.

NoiseScope: Detecting Deepfake Images in a Blind Setting.

The Annual Computer Security Applications Conference (ACSAC) 2020. [Code], [Presentation].

Jiameng Pu, Qian Zhang, Lefei Zhang, Bo Du.

Multiview Clustering Based on Robust and Regularized Matrix Approximation

Proceedings of the 23rd International Conference on Pattern Recognition 2016

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Awards & Certificates

Recipient of Dr. Dennis Kafura Graduate Fellowship

Department of Computer Science, Virginia Tech, 2022

Visa Research Scholarship

IEEE Symposium on Security and Privacy (IEEE S&P), 2020

Student Travel Grant

The Network and Distributed System Security Symposium, 2019

National Endeavor Fellowship, Twice

Chinese Ministry of Education

Contact

Email
jmpu@vt.edu