Publications

[C]-conference, [J]-journal, [P]-poster. The * sign stands for co-first authors (equal contribution). A full list of publications, including my Global Burden of Disease (GBD) publications can be found on my Google Scholar page.

2024

• [C3] Pirouz Naghavi, Erica Naghavi, Gang Wang, and Kanyin Liane Ong
  “Self-Supervised Probability Imputation to Estimate the External-Natural Cause of Injury Matrix”
  Machine Learning for Health (ML4H). 2024. (Acceptance rate 28.7%)
  [Accepted Pending Publication]

2023

• [C2] Yan Long, Pirouz Naghavi, Blas Kojusner, Kevin Butler, Sara Rampazzi, and Kevin Fu.
  “Side Eye: Characterizing the Limits of POV Acoustic Eavesdropping from Smartphone Cameras with Rolling Shutters and Movable Lenses”
  In Proceedings of the 44th Annual IEEE Symposium on Security and Privacy (IEEE S&P). 2023. (Acceptance rate 18 to 12%)
  [Website] [Paper Link] [PDF] [Presentation] [Media] [Patent]

• [C1] Yulong Cao, S. Hrushikesh Bhupathiraju, Pirouz Naghavi, Takeshi Sugawara, Z. Morley Mao, and Sara Rampazzi
  “You Can’t See Me: Physical Removal Attacks on LiDAR-based Autonomous Vehicles Driving Frameworks”
  In Proceedings of the 32nd Annual USENIX Security Symposium. 2023. (Acceptance rate 18 to 15%)
  [Website] [Paper Link] [PDF] [Presentation] [Media]

2022

• [J2] Muhammad Sajidur Rahman, Pirouz Naghavi, Blas Kojusner, Sadia Afroz, Byron Williams, Sara Rampazzi, and Vincent Bindscaedler
  “PermPress: Machine Learning-Based Pipeline to Evaluate Permissions in App Privacy Policies”
  IEEE Access - Open Access Journal. 2022. (Acceptance rate 30%)
  [Website] [Paper Link] [PDF]

• [J1] and [P1] Erica Eaton * and Pirouz Naghavi *
  “[Re] Reproduction and Extension of “Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation”
  RE Science C Journal. Presented at NeurIPS. 2022.
  [Website] [Paper Link] [PDF] [Poster] [Presentation]