First Edition of IEEE Conference on Secure and Trustworthy Machine Learning scheduled for 2023

The previous decade saw an exponential rise in the capabilities and advancement of Intelligent Systems, especially Deep Learning. This rise is commonly attributed to increased availability of data, faster computation(by the use of hardware accelerators), and advancements in the algorithms for training Deep Learning models. However, along with an increase in capabilities of the state-of-the-art models, there has also been an increase in concerns related to the security, interpretability, trustworthiness, fairness, and transparency of Machine Learning models. This is even more true for Black Box models such as Neural Networks which are highly sophisticated.

For these reasons, fields such as Explainable AI(XAI), Fair AI, and Secure AI have been gaining a lot of traction in recent years. IEEE is launching the first edition of the Conference on Secure and Trustworthy Machine Learning, SaTML which will be happening over 3 days in 2023 from 8-10 February. The location of the conference is yet to be revealed.

The SaTML conference will feature people from various top institutions and organizations working on Artificial Intelligence.

This conference will expand on the theoretical and practical understandings of vulnerabilities inherent to ML systems, explore the robustness of ML algorithms and systems, and aid in developing a unified, coherent scientific community which aims to build trustworthy ML systems.
IEEE Conference on Secure and Trustworthy Machine Learning, SaTML

The conference will be focussing on, but limited to –

Trustworthy data curation
Novel attacks on ML systems
Methods for defending against attacks on ML systems
Forensic analysis of ML systems
Verifying properties of ML systems
Securely and safely integrating ML into systems
Privacy (e.g., confidentiality, inference privacy, machine unlearning)
Fairness
Accountability
Transparency
Interpretability

Call for Papers

The following are important dates related to submitting papers at the IEEE Conference on Secure and Trustworthy Machine Learning-

Abstracts due for Paper submissions: Monday, August 22, 2022 (11:59 PM AoE, UTC-12)
Paper submission: Thursday, September 1, 2022 (11:59 PM AoE, UTC-12)
Paper notification: Tuesday, November 15, 2022
Camera-ready versions of Papers and Abstracts: Monday, December 15, 2022
Conference: Wednesday, February 8, to Friday, February 10, 2023

Call for Competitions

The following are important dates related to competitions at the IEEE Conference on Secure and Trustworthy Machine Learning-

Competition proposal submission deadline: July 29, 2022, 23:59 AOE
Acceptance notification: August 12, 2022
Competition track (during the conference): February 8-10, 2022

More information about the SaTML conference 2023 can be obtained here.

Call for Papers

Call for Competitions

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