Daniel Moghimi
Before joining Google as a Senior Research Scientist, Daniel was a postdoctoral scholar at UCSD. He has a PhD in Electrical and Computer Engineering and an MSc in Computer Science from WPI. He works on computer and hardware security, spanning various topics such as microarchitectural vulnerabilities, side-channel cryptanalysis, and security architecture. His research has improved the security of superscalar CPUs, memory subsystems, and cryptographic implementations, which billions of users use daily.
Authored Publications
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Google
SMaCk: Efficient Instruction Cache Attacks via Self-Modifying Code Conflicts
Seonghun Son
Berk Gulmezoglu
ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) (2025) (to appear)
Pathfinder: High-Resolution Control-Flow Attacks with Conditional Branch Predictor
Hosein Yavarzadeh
Archit Agarwal
Max Christman
Christina Garman
Daniel Genkin
Andrew Kwong
Deian Stefan
Mohammadkazem Taram
Dean Tullsen
International Conference on Architectural Support for Programming Languages and Operating Systems, ACM (2024)
Hardware-Assisted Fault Isolation: Going Beyond the Limits of Software-Based Sandboxing
Shravan Narayan
Tal Garfinkel
Mohammadkazem Taram
Joey Rudek
Evan Johnson
Chris Fallin
Anjo Vahldiek-Oberwagner
Michael LeMay
Ravi Sahita
Dean Tullsen
Deian Stefan
IEEE Micro (2024)
Generalized Power Attacks against Crypto Hardware using Long-Range Deep Learning
Karel Král
Marina Zhang
Transactions on Cryptographic Hardware and Embedded Systems (TCHES), IACR (2024)
Downfall: Exploiting Speculative Data Gathering
USENIX Security Symposium, USENIX (2023)
