Hani Jamjoom
Systems security researcher listed with IBM Research; co-author of confidential-computing studies for AI
Hani Jamjoom is listed with IBM Research as a co-author of papers on computing systems and their security. These include "Blueprint, Bootstrap, and Bridge" (2025), a security study of NVIDIA GPU Confidential Computing, which aims to provide secure execution for AI workloads, and "Confidential Inference via Ternary Model Partitioning" (first submitted in 2018), which uses trusted execution environments to limit information leakage from deep learning inference inputs. Jamjoom is also listed with the IBM T.J. Watson Research Center as a co-author of a 2026 reference architecture for quantum-centric supercomputers that combine quantum processors with GPUs and CPUs.123
Work
Security study of NVIDIA GPU Confidential Computing (external site: arxiv.org)Published research
Co-author of "Blueprint, Bootstrap, and Bridge: A Security Look at NVIDIA GPU Confidential Computing" (2025), which reconstructs the architecture and bootstrap process of GPU confidential computing and tests whether data transfers between trusted CPU and GPU domains stay protected.1
Confidential Inference via Ternary Model Partitioning (external site: arxiv.org)Published research
Co-author of a 2018 paper that studies how inference inputs can leak in deep learning image classification pipelines and proposes a ternary model partitioning mechanism that uses trusted execution environments.2
Other documented roles
Roles the sources document but that are not confirmed as current.
- Listed with IBM Research on the 2025 GPU confidential computing paper and with the IBM T.J. Watson Research Center on a 2026 arXiv paper, IBM Research13
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