MAY82027

IEEE SaTML 2027 — Conference on Secure and Trustworthy Machine Learning

by IEEE Computer Society Technical Committee on Security and Privacy

conferenceIn-PersonUpcomingStarts in 9 months

The dedicated venue for ML security, privacy and trustworthiness

May 8–10, 2027·Reykjavik, Iceland·Paid
Share:
THE DAILY BRIEF
MAY82027
IEEE SaTML 2027 — Conference on Secure and Trustworthy Machine Learning

by IEEE Computer Society Technical Committee on Security and Privacy

conferenceIn-Personupcoming

The dedicated venue for ML security, privacy and trustworthiness

About This Event

IEEE SaTML 2027, the Conference on Secure and Trustworthy Machine Learning, is scheduled for 8-10 May 2027 in Reykjavik, Iceland — the official site currently states the timing as early May 2027, with exact dates confirmed through the conference deadline listings. Organised by the IEEE Computer Society Technical Committee on Security and Privacy, SaTML exists because ML security had been split between machine-learning venues that treat security as an afterthought and security venues that treat ML as a black box. Its call for papers covers attack and defence mechanisms, secure and safe implementation of ML systems, algorithm and system verification, privacy protections, forensic analysis, fairness and interpretability, and trustworthy data practices. It accepts research papers, systematization-of-knowledge papers and position papers, and runs a competitions programme and workshops alongside the main track.

At a Glance

Date
May 8–10, 2027
Location
Reykjavik, Iceland
Format
In-Person
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
IEEE Computer Society Technical Committee on Security and Privacy
Added
Aug 16, 2026
Updated
Aug 16, 2026

Topics & Focus Areas

Machine learning attacks and defencesSecure and safe ML implementationVerification of ML algorithms and systemsPrivacy in machine learningForensic analysis of ML systemsFairness and interpretabilityTrustworthy data practicesAdversarial robustness

Who Should Attend

  • AI security leads
  • Heads of responsible AI and model risk
  • ML engineers deploying models in regulated settings
  • Security architects
  • Privacy engineers
  • Model risk and assurance managers

Organizer

I

IEEE Computer Society Technical Committee on Security and Privacy

ieee-security.org/

THE DAILY BRIEF

Enterprise AI insights for technology and business leaders, twice weekly.

beri.net

Subscribe at beri.net/subscribe for twice-weekly AI insights delivered to your inbox.

LinkedIn: linkedin.com/in/rberi  |  X: x.com/rajeshberi

© 2026 Rajesh Beri. All rights reserved.

About This Event

IEEE SaTML 2027, the Conference on Secure and Trustworthy Machine Learning, is scheduled for 8-10 May 2027 in Reykjavik, Iceland — the official site currently states the timing as early May 2027, with exact dates confirmed through the conference deadline listings. Organised by the IEEE Computer Society Technical Committee on Security and Privacy, SaTML exists because ML security had been split between machine-learning venues that treat security as an afterthought and security venues that treat ML as a black box. Its call for papers covers attack and defence mechanisms, secure and safe implementation of ML systems, algorithm and system verification, privacy protections, forensic analysis, fairness and interpretability, and trustworthy data practices. It accepts research papers, systematization-of-knowledge papers and position papers, and runs a competitions programme and workshops alongside the main track.

Key Dates & Deadlines

  • Paper submission deadline
  • Early rejections announced
  • Revision phase opens
  • Revision phase closes
  • Final decisions
  • Revised papers due

At a Glance

Date
May 8–10, 2027
Location
Reykjavik, Iceland
Format
In-Person
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
IEEE Computer Society Technical Committee on Security and Privacy
Added
Aug 16, 2026
Updated
Aug 16, 2026

Topics & Focus Areas

Machine learning attacks and defencesSecure and safe ML implementationVerification of ML algorithms and systemsPrivacy in machine learningForensic analysis of ML systemsFairness and interpretabilityTrustworthy data practicesAdversarial robustness

Who Should Attend

  • AI security leads
  • Heads of responsible AI and model risk
  • ML engineers deploying models in regulated settings
  • Security architects
  • Privacy engineers
  • Model risk and assurance managers

Why Attend

This is the shortest path to an evidence-based answer on whether your model deployments are defensible. A model-risk or AI-security lead leaves with the current state of extraction, poisoning, jailbreak and membership-inference attacks against production-shaped systems, the verification techniques that can be cited in an assurance argument, and the competition artefacts to run those attacks against your own models. For anyone writing an internal AI security standard, this is where its technical claims should come from rather than a vendor whitepaper.

Event Features

  • Research paper, systematization-of-knowledge and position paper submission types
  • CFP area: ML attack and defence mechanisms, and adversarial robustness
  • CFP area: privacy protections and forensic analysis of ML systems
  • CFP area: algorithm and system verification for machine learning
  • Competitions programme, proposed and run alongside the main track
  • Co-located workshops proposed through the same call

What Makes This Unique

  • Purpose-built for trustworthy ML rather than an AI track inside a general security conference or a security workshop inside an ML conference
  • Runs a revision phase (25 November - 9 December 2026) between early rejection and final decision, so borderline work is repaired rather than resubmitted a year later
  • Hosts a competitions programme, which produces reproducible attack and defence artefacts rather than paper-only claims
  • Position papers are a first-class submission type, which is where the arguments about evaluation standards and disclosure norms actually get made

Industries Represented

Financial ServicesTechnologyHealthcareGovernmentInsurance

Pricing Details

Registration rates for SaTML 2027 are not yet published; the site currently carries the call for papers and the deadline schedule only.

Organizer

I

IEEE Computer Society Technical Committee on Security and Privacy

ieee-security.org/

Frequently Asked

When is IEEE SaTML 2027?
IEEE SaTML 2027 takes place May 8–10, 2027 in Reykjavik, Iceland.
Where is IEEE SaTML 2027 held?
IEEE SaTML 2027 is held in Reykjavik, Iceland. The event format is in-person.
What is the IEEE SaTML 2027 submission deadline?
The next IEEE SaTML 2027 deadline is paper submission deadline on Sep 29, 2026. Remaining dates: Early rejections announced — Nov 4, 2026; Revision phase opens — Nov 25, 2026; Revision phase closes — Dec 9, 2026; Final decisions — Dec 16, 2026; Revised papers due — Jan 21, 2027.
How much does IEEE SaTML 2027 cost?
IEEE SaTML 2027 is paid. Registration rates for SaTML 2027 are not yet published; the site currently carries the call for papers and the deadline schedule only.
Who should attend IEEE SaTML 2027?
IEEE SaTML 2027 is aimed at AI security leads, Heads of responsible AI and model risk, ML engineers deploying models in regulated settings, Security architects, Privacy engineers, Model risk and assurance managers.
What topics does IEEE SaTML 2027 cover?
IEEE SaTML 2027 covers Machine learning attacks and defences, Secure and safe ML implementation, Verification of ML algorithms and systems, Privacy in machine learning, Forensic analysis of ML systems, Fairness and interpretability, Trustworthy data practices, Adversarial robustness.

Sources

This page was written from 3 sources, 1 on domains other than satml.org.

  1. 1.satml.orgsatml.orgvendor
  2. 2.satml.orgparticipate cfpvendor
  3. 3.mldeadlines.comsatml 2027
Newsletter

Stay Ahead of the Curve

Weekly enterprise AI insights for technology leaders. No spam, no vendor pitches—unsubscribe anytime.

Subscribe