Shagufta Mehnaz

I am an Assistant Professor in the Department of Computer Science and Engineering at The Pennsylvania State University. My research interests are at the intersection of security, privacy, and machine learning.

I received my Ph.D. and MSc. in Computer Science from Purdue University, and BSc. in Computer Science and Engineering (CSE) from Bangladesh University of Engineering and Technology (BUET).

 

Experience

  • 2022-Present

    Assistant Professor

    Computer Science and Engineering, The Pennsylvania State University

  • 2021-2022

    Assistant Professor

    Computer Science, Dartmouth College

  • 2014-2020

    Research Assistant

    Computer Science, Purdue University

  • Summer2017

    Research Associate Intern

    Hewlett Packard Labs- Edge/IoT

  • Summer2016

    Research Associate Intern

    Hewlett Packard Labs- Data Analytics

  • Summer2015

    Graduate Technical Intern

    Intel Corporation

Education

  • Ph.D. 2020

    Ph.D. in Computer Science

    Purdue University

  • MS 2016

    Master of Computer Science

    Purdue University

  • BSc 2013

    Bachelor of Science (ranked 1st among 142 students)

    Bangladesh University of Engineering and technology (BUET).

News

  • October 2023
    Our paper titled 'FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks' has been accepted to IEEE S&P 2024. Congratulations to Ehsan, Zeyu, and Rafi!
  • October 2023
    Served on the panel 'AI for xG Security' at IEEE CNS 2023.
  • August 2023
    Our paper titled 'SecureImgStego: A Keyed Shuffling-based Deep Learning Model for Secure Image Steganography' has been accepted to IEEE CNS 2023. Congratulations to the team!
  • February 2023
    Our paper titled 'Towards Sentence Level Inference Attack Against Pre-trained Language Models' has been accepted to PETS 2023. Congratulations to Kang, Ehsan, Neha, and Soroush!
  • 2023
    Serving on the PC of ACM CCS, USENIX Security, PETS, and CODASPY in 2023
  • November 2022
    Our paper titled 'Model Inversion Attack with Least Information and an In-depth Analysis of its Disparate Vulnerability' has been accepted to IEEE Conference on Secure and Trustworthy Machine Learning (SaTML 2023). Congratulations to Sayanton and Dae Lim!
  • January 2022
    Received Walter and Constance Burke Research Initiation Award ($30K). Many thanks to the sponsors!
  • January 2022
    Our paper titled 'Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models' has been accepted to USENIX Security 2022. Congratulations to Sayanton and Ehsan!
  • December 2021
    Serving on the PC of ACM CCS 2022
  • May 2021
    Serving on the PC of USENIX Security 2022
  • March 2021
    Serving on the PC of PETS 2022
  • February 2021
    Serving on the PC of ACSAC 2021
  • December 2020
    Serving on the PC of ACM SACMAT 2021
  • October 2020
    I have been invited to serve on the PC of The Web Conference 2021
  • August 2020
    I have been invited to serve on the PC of CODASPY 2021
  • June 9, 2020
    Defended my PhD thesis!
  • May 6, 2020
    Accepted a tenure-track faculty position in the Department of Computer Science at Dartmouth College starting from winter 2021
  • October 15, 2019
    Paper accepted for inclusion in an upcoming issue of IEEE Transactions on Dependable and Secure Computing (TDSC)
  • October 3, 2019
    Presented a talk at the Award Winning Research Session, GHC 2019
  • October 2, 2019
    Paper accepted for publication in the proceedings of 36th IEEE International Conference on Data Engineering (ICDE)