Conference Information

SEED 2022: IEEE International Symposium on Secure and Private Execution Environment Design

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Submission Date:
2022-05-20
Notification Date:
2022-07-29
Conference Date:
2022-09-26
Location:
Online
Viewed: 11273   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

42.1 / 100
Ranked #4,150 of 5,684 conferences · Top 74%
Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-24

Call For Papers

SEED 2022 (IEEE International Symposium on Secure and Private Execution Environment Design) is an academic conference held in Online on 2022-09-26. The paper submission deadline is 2022-05-20. Acceptance notifications are sent on 2022-07-29.

SEED invites manuscripts that present original unpublished research with focus on the design of architectural and system primitives that provide secure and private execution environments for applications, containers, or virtual machines. SEED primarily focuses on research topics spanning across the boundaries of computer architecture, systems, and security. Papers are solicited on a range of topics, including (but not limited to): Architecture, operating systems, and programming models and language for supporting secure and private execution Novel Designs for secure and private execution environments for GPUs, accelerators, and FPGAs Architectural support for new security primitives Novel cryptographic hardware designs for secure and private execution Models and analysis of performance-security trade-offs in the design of a secure execution environment Evaluation of security vulnerabilities in post-Moore’s Law technologies, e.g. persistent memory, quantum computing Demonstration and mitigation of architectural side channels, covert channels and other security vulnerabilities Metrics for measuring architecture-related security vulnerabilities Compiler and code generation techniques for mitigating architecture-induced side and covert channels and other vulnerabilities
Last updated by Dou Sun on

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