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Machine Learning System Security

Location:
Pittsburgh, PA
Posted:
October 21, 2023

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Resume:

Weiran Lin

217-***-**** ad0jdi@r.postjobfree.com https://linweiran.github.io

RESEARCH INTERESTS

Attacks on machine learning; uses of machine learning in computer security. EDUCATION

Carnegie Mellon University

Ph.D. candidate in Electrical and Computer Engineering GPA: 3.95/4.00 August 2019 – present University of Illinois at Urbana-Champaign

Bachelor of Computer Engineering GPA: 3.97/4.00 August 2015 – May 2019 PROGRAMMING SKILLS

Python, C++, C, x86 assembly, Java; PyTorch, TensorFlow, SciPy, Keras, NumPy, scikit-learn, pandas PUBLICATIONS

Weiran Lin, Keane Lucas, Neo Eyal, Lujo Bauer, Michael K. Reiter, Mahmood Sharif. Group-based Robustness: A General Framework for Customized Robustness in the Real World. In NDSS’24: The Network and Distributed System Security Symposium 2024. February 2024.

Keane Lucas, Samruddhi Pai, Weiran Lin, Lujo Bauer, Michael K. Reiter, and Mahmood Sharif. Adversarial Training for Raw-Binary Malware Classifiers. In USENIX Security’23: the 32nd USENIX Security Symposium. July 2023. Weiran Lin, Keane Lucas, Lujo Bauer, Michael K. Reiter, Mahmood Sharif. Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks. In ICML’22: the 39th International Conference on Machine Learning. July 2022.

Weiran Lin, Sanjeev Reddy, Nikita Borisov. Measuring the Impact of HTTP/2 and Server Push on Web Fingerprinting. In NDSS MADWeb’19: Workshop on Measurements, Attacks, and Defenses for the Web. February 2019. Weili Chen, Hojeong Yu, F. Sun, A. Ornob, Ryan Brisbin, A. Ganguli, V. Vemuri, P. Strzeboński, Guangzhe Cui, K. J. Allen, Smit Desai, Weiran Lin, David M. Nash, D. Hirschberg, Ian Brooks, R. Bashir, B. Cunningham. Mobile Platform for Multiplexed Detection and Differentiation of Disease-Specific Nucleic Acid Sequences, Using Microfluidic Loop-Mediated Isothermal Amplification and Smartphone Detection. In Analytical Chemistry, Volume 89, Issue 21, Pages 111**-*****. November 2017.

Fu Sun, Weili Chen, Hojeong Yu, Akid Omob, Ryan Brisbin, Anurup Ganguli, Vinay Vemuri, Piotr Strzebonski, Guangzhe Cui, Karen J. Allen, Smit A. Desai, Weiran Lin, David M. Nash, David L. Hirschberg, Ian Brooks, Rashid Bashir, Brian T. Cunningham. Multiplexed detection of infectious diseases with microfluidic loop-mediated isothermal amplification and a smartphone. In HI-POCT’17: IEEE Healthcare Innovation Point-of-Care Technologies. November 2017.

ACADEMIC SERVICE

External Reviewer USENIX Security, 2024

External Reviewer USENIX Security, 2023

Reviewer ICML, 2022

External Reviewer IEEE S&P, 2021

External Reviewer NDSS, 2021

WORK EXPERIENCE

Carnegie Mellon University, Pittsburgh, PA Research Assistant August 2019 – present Carnegie Mellon University, Pittsburgh, PA Teaching Assistant Spring 2023 ServiceNow Inc., Santa Clara, CA Software Engineering Intern Summer 2018 HONORS

Carnegie Institute of Technology Dean's Fellow Carnegie Mellon University, August 2019 – May 2020 Bronze Tablet (Highest Honor) University of Illinois at Urbana-Champaign, May 2019



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