Yan Michalevsky

Yan Michalevsky


Academic, professional and personal information.

I am a PhD student at the Applied Crypto Group at Stanford University, advised by Dan Boneh. My research was recently focused around mobile security and privacy. Previously, I held several positions in industry as a team manager, independent contractor, and software architect and developer, mostly in the fields of networks, embedded software and security. I hold a BSc in Electrical Engineering from the Technion, and an MS in Electrical Engineering from Stanford University.

Here you can find my academic works and links to professional and personal stuff such as my Blog, music and paintings.

I'm also functioning as a member of the Israeli Students Organization at Stanford. You can find more details about its activities on the ISO Website.

My CV and its shorter version.

Publications

  • PowerSpy: Location Tracking using Mobile Device Power Analysis
  • Gyrophone: Recognizing Speech from Gyroscope Signals
    23rd USENIX Security Symposium (USENIX Security '14)
  • Mobile Device Identification via Sensor Fingerprinting
  • Extending the Faust VST Architecture with Polyphony, Portamento and Pitch Bend
    Linux Audio Conference 2014 proceedings
  • Speaker Identification Using Diffusion Maps
    EUSIPCO 2011: 19th European Signal Processing Conference
  • Venus: Verification for Untrusted Cloud Storage
    CCSW '10: Proceedings of the 2010 ACM workshop on Cloud computing security
  • Fast H.264 Picture-in-Picture (PIP) Transcoder with B-Slices and Direct Mode Support
    MELECON 2010 - 2010: 15th IEEE Mediterranean Electrotechnical Conference
  • Talks

  • PowerSpy: Location Tracking using Mobile Device Power Analysis
    Stanford Security Lunch Talk
  • Side-Channel Attacks on Mobile Devices
    Invited talk at the UIUC CSL student conference 2015
  • Side-Channel Attacks on Mobile Devices
    Invited talk at Qualcomm Research
  • Gyrophone: Recognizing Speech from Gyroscope Signals
    BlackHat Europe 2014
  • Gyrophone: Recognizing Speech from Gyroscope Signals
    Seminar at the Technion Electrical Engineering Department
  • Gyrophone: Recognizing Speech from Gyroscope Signals
    23rd USENIX Security Symposium (USENIX Security '14)
  • Gyrophone: Recognizing Speech from Gyroscope Signals
    Stanford Security Lunch Talk
  • Media

  • Spies Can Track You Just by Watching Your Phone’s Power Use
    Wired.com
  • Battery power alone can be used to track Android phones
    BBC.com
  • The Gyroscopes in Your Phone Could Let Apps Eavesdrop on Conversations
    Wired.com
  • Stanford researchers discover ‘alarming’ method for phone tracking, fingerprinting through sensor flaws
    The Tech Chronicles - SFGate
  • Kazabooboo!