Call for Contributions

Confidential computing (CC) support provides remote users with assurance about data protection and platform authenticity. Such support is a major requirement for processing critical data in remote environments, e.g., cloud systems, without risking data exposure. Thus, CC support is increasingly common and available in almost all major cloud systems. However, CC builds upon low-level architectural features that are supported in compute nodes and in certain cases accelerators.

ConfAd is the first of its kind academic workshop with focus on confidential computing advances, facilitating early discussions of new challenges, opportunities, and advances of confidential computing between academics and industry practitioners.

We invite contributions to ConfAD’26 in any of the following topics:

• Defining trusted computing base in the presence of heterogenous chiplets

• Involvement of accelerators (IPU, GPU, PiM) in processing confidential data

• Confidential computing of AI workloads and Large Language models

• System-level confidential data sharing in disaggregated memory architectures

• Side-channel attacks used to compromise CC-enabled workloads

• Memory security attacks that can impact availability

• Post-Quantum cryptography and how it impacts CC support and attestation time